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<div style=""><br></div><div style="">As a Senior Systems Engineer, you will responsible for below:&nbsp;</div><div style=""><br></div><ul>  <li style="">Should have 4+ years of experience in Leading Production Support / data migration projects Primarily</li>  <li style="">in reporting tools Power BI/ Tableau and or ETL tools like (Ex Informatica, SSIS)</li>  <li style="">Flexible to work in 24X7 shifts.</li>  <li style="">Flexible to work from office 3-5days work week.</li>  <li style="">Oversee the day-to-day operations of the Technical Support Team.</li>  <li style="">Act as a SPOC for all stakeholders (customer and internal) who will take accountability for delivery and customer satisfaction.</li>  <li style="">Act as a mentor and provide oversight, coaching, and training to technical support staff.</li>  <li style="">First point of contact for all escalations.</li>  <li style="">Track SLAs and report the same as part of WSRs.</li>  <li style="">Should understand shift management roasters and be able to work in onsite-offshore model (multi-geo support team).</li>  <li style="">On-board all new technical support team members and work in review and creation of SOPs for recurring issues.</li>  <li style="">liaising with team members, management, and clients to ensure projects are completed to standard.</li>  <li style="">Should have excellent written and verbal communication skills and experience in managing communications in Support mode, Critical Incident management, Problem management notifications.</li>  <li style="">Good Hands-on knowledge of ETL Tools (Ex Informatica, Oracle Data integrator or SSIS ) SQL, PL SQL,</li>  <li style="">Unix/ Linux commands would be an added advantage</li>  <li style="">Ability to work independently and work in a team in a collaborative fashion.</li></ul>

TA India - Chennai - CLO

Senior System Engineer - Xops + Informatica

<div style=""><br></div><div style="">As a Lead Systems Engineer, you will responsible for below:&nbsp;</div><div style=""><br></div><ul>  <li style="">Should have 6+ years of experience in Leading Production Support / data migration projects Primarily</li>  <li style="">in reporting tools Power BI/ Tableau and or ETL tools like (Ex Informatica, SSIS)</li>  <li style="">Flexible to work in 24X7 shifts.</li>  <li style="">Flexible to work from office 3-5days work week.</li>  <li style="">Oversee the day-to-day operations of the Technical Support Team.</li>  <li style="">Act as a SPOC for all stakeholders (customer and internal) who will take accountability for delivery and customer satisfaction.</li>  <li style="">Act as a mentor and provide oversight, coaching, and training to technical support staff.</li>  <li style="">First point of contact for all escalations.</li>  <li style="">Track SLAs and report the same as part of WSRs.</li>  <li style="">Should understand shift management roasters and be able to work in onsite-offshore model (multi-geo support team).</li>  <li style="">On-board all new technical support team members and work in review and creation of SOPs for recurring issues.</li>  <li style="">liaising with team members, management, and clients to ensure projects are completed to standard.</li>  <li style="">Should have excellent written and verbal communication skills and experience in managing communications in Support mode, Critical Incident management, Problem management notifications.</li>  <li style="">Good Hands-on knowledge of ETL Tools (Ex Informatica, Oracle Data integrator or SSIS ) SQL, PL SQL,</li>  <li style="">Unix/ Linux commands would be an added advantage</li>  <li style="">Ability to work independently and work in a team in a collaborative fashion.</li></ul>

Lead System Engineer - Xops + Power BI

<div style=""><b style="font-weight: 700">Job Title: Senior Data Scientist &nbsp;</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><b style="font-weight: 700">Notice Period: Immediate / Less than 15 days</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly skilled Senior Data Scientist specializing in Generative AI and Large Language Models (LLMs). The candidate should have strong expertise in designing, fine-tuning, and deploying GenAI solutions for enterprise use cases.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Design and implement LLM-based solutions (text summarization, Q&amp;A, content generation, code generation, etc.).</li>  <li style="">Build and optimize Text to SQL pipelines to enable natural language querying of structured data.</li>  <li style="">Hands on experience with LLMs for time series forecasting (Eg. Time GPT)</li>  <li style="">Fine-tune and optimize pre-trained foundation models (OpenAI, Hugging Face, Llama, etc.) on domain-specific datasets.</li>  <li style="">Build RAG (Retrieval-Augmented Generation) pipelines using vector databases</li>  <li style="">Develop Lang Chain- or LangGraph-style orchestration workflows with multi-agent setups.</li>  <li style="">Collaborate with MLOps/Engineering teams to ensure scalable deployment and monitoring of GenAI solutions.</li>  <li style="">Work closely with business stakeholders to identify new AI-driven automation and augmentation opportunities.</li>  <li style="">Research &amp; Development: Stay up-to-date on industry trends and advancements in GenAI methodologies and tools. Propose and implement innovative solutions to improve solutions.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Qualifications: </b>7+ years of hands-on experience in Data Science/ML and strong expertise in designing, fine-tuning, and deploying GenAI solutions for enterprise use cases</div><div style=""><br></div><div style=""><b style="font-weight: 700">Education: </b>A bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Skills:</b></div><ul>  <li style="">Proficiency in Python, PySpark, and SQL.</li>  <li style="">Experience with transformer models</li>  <li style="">Hands-on with vector DBs and semantic search.</li>  <li style="">Familiarity with prompt engineering, fine-tuning, and evaluation techniques.</li>  <li style="">Good understanding of MLOps practices (MLflow, Docker, CI/CD pipelines).</li>  <li style="">Experience with Azure cloud platform &amp; Data Bricks</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Soft Skills:</b></div><ul>  <li style="">Excellent problem-solving and analytical skills.</li>  <li style="">Strong communication and storytelling abilities to convey complex ideas.</li>  <li style="">Ability to work both independently and collaboratively in a fast-paced environment.</li>  <li style="">A proactive and adaptable mindset, with a continuous learning approach.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

Senior Data Scientist - GenAI 

<div style=""><b style="font-weight: 700">Job Title: Data Scientist &nbsp;</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><b style="font-weight: 700">Notice Period: Immediate / Less than 15 days</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly experienced and domain-focused Data Scientist specializing in network design and graph-based modeling. The ideal candidate will have expertise in applying graph theory and optimization techniques and experience of using NetworkX to solve large-scale supply chain, logistics, or network problems, a proven ability to leverage PySpark on Azure/Databricks for scalable solutions, and a track record of delivering measurable business impact.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Domain Leadership &amp; Modeling: Design and implement network optimization models for distribution, supply chain, or connectivity planning. Apply graph theory algorithms to real-world datasets.</li>  <li style="">Big Data &amp; Cloud Implementation: Utilize PySpark to process, clean, and engineer features from massive, distributed datasets.</li>  <li style="">Databricks: Experience developing and executing data science notebooks and ML pipelines on Databricks, ensuring optimized performance and cost efficiency.</li>  <li style="">Collaboration: Work closely with cross-functional teams, including data engineering, business intelligence, and business leaders, to understand requirements and ensure solutions align with business goals.</li>  <li style="">MLOps &amp; Production: Establish and maintain robust MLOps practices, including model versioning, continuous integration/continuous deployment (CI/CD), and monitoring of production models deployed in the cloud environment.</li>  <li style="">Data Analysis &amp; Storytelling: Leverage graph databases and visualization tools for analysis and insights.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Qualifications</b></div><div style=""><b style="font-weight: 700">Experience:</b> 3+ years of professional experience in a Data Scientist or Machine Learning Engineer role.</div><div style=""><b style="font-weight: 700">Domain Expertise:</b> Mandatory 3+ years of experience working specifically within the Supply Chain industry.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Stack:</b></div><ul>  <li style="">Proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn, TensorFlow/ PyTorch).</li>  <li style="">Advanced proficiency in PySpark for large-scale data processing and machine learning model development.</li>  <li style="">Experience with Azure cloud services relevant to data science (e.g., Azure ML, Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li>  <li style="">Expertise working with Databricks (Delta Lake, MLflow) for model training, tracking, and deployment.</li>  <li style="">Strong SQL skills for data querying and manipulation.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Education:</b> Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Operations Research, Engineering).</div><div style=""><br></div><div style=""><b style="font-weight: 700">Skills:</b></div><ul>  <li style="">Hands-on experience in network design and/or graph theory projects.</li>  <li style="">Strong understanding of graph algorithms, combinatorial optimization, and network flows.</li>  <li style="">Experience with NetworkX</li>  <li style="">Familiarity with supply chain network design tools (e.g., Llamasoft, AnyLogistix) is a plus.</li>  <li style="">Strong analytical, mathematical, and problem-solving skills.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Data Scientist - Network Design

<div style=""><b style="font-weight: 700">Job Title: Senior Data Scientist&nbsp;</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><b style="font-weight: 700">Notice Period: Immediate / Less than 15 days</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly experienced and domain-focused Senior Data Scientist to lead advanced analytics and machine learning initiatives with transportation and logistics operations experience. The ideal candidate will have deep expertise applying data science methodologies to solve complex transportation challenges, a proven ability to leverage PySpark on Azure/Databricks for scalable solutions, and a track record of delivering measurable business impact.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style=""><b style="font-weight: 700">Domain Leadership &amp; Modeling:</b> Lead the design, development, and deployment of sophisticated predictive and prescriptive models specifically for the transportation domain (e.g., route optimization, demand forecasting, predictive maintenance for fleet, network efficiency, logistics planning, and anomaly detection).</li>  <li style=""><b style="font-weight: 700">Big Data &amp; Cloud Implementation:</b> Architect and implement scalable machine learning workflows and ETL processes utilizing PySpark within the Azure ecosystem (e.g., Azure Synapse, Azure Data Lake Storage).</li>  <li style=""><b style="font-weight: 700">Databricks Expertise: </b>Serve as the technical expert for developing and executing data science notebooks and ML pipelines on Databricks, ensuring optimized performance and cost efficiency.</li>  <li style=""><b style="font-weight: 700">Collaboration &amp; Strategy:</b> Partner closely with operations, engineering, and business intelligence teams to identify high-impact analytical opportunities and translate complex business problems into clear data science initiatives.</li>  <li style=""><b style="font-weight: 700">MLOps &amp; Production:</b> Establish and maintain robust MLOps practices, including model versioning, continuous integration/continuous deployment (CI/CD), and monitoring of production models deployed in the cloud environment.</li>  <li style=""><b style="font-weight: 700">Data Analysis &amp; Storytelling:</b> Conduct in-depth analysis of transportation data, providing actionable insights and communicating complex technical findings and their business value to both technical and executive stakeholders.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Qualifications</b></div><div style=""><b style="font-weight: 700">Experience:</b> 5+ years of progressive professional experience in a Data Scientist or Machine Learning Engineer role.</div><div style=""><b style="font-weight: 700">Domain Expertise:</b> Mandatory 3+ years of experience working specifically within the Transportation, Logistics, Supply Chain, or Fleet Management industry.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Stack:</b></div><ul>  <li style="">Expert proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).</li>  <li style="">Advanced proficiency in PySpark for large-scale data processing and machine learning model development.</li>  <li style="">Expert experience with Azure cloud services relevant to data science (e.g., Azure ML, Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li>  <li style="">Mandatory expertise working with Databricks (Delta Lake, MLflow) for model training, tracking, and deployment.</li>  <li style="">Strong SQL skills for data querying and manipulation.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Education: </b>Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Operations Research, Engineering).</div><div style=""><br></div><div style=""><b style="font-weight: 700">Skills:</b></div><ul>  <li style="">Proven ability to work with unstructured and distributed data sources common in the transportation sector (telematics, GIS/location data, sensor data).</li>  <li style="">Excellent written and verbal communication skills, capable of presenting complex results to a non-technical audience.</li>  <li style="">Demonstrated experience delivering production-ready machine learning solutions with measurable business impact.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Senior Data Scientist - Transportation and Logistics

<div style=""><b style="font-weight: 700">Job Title: Data Scientist / Senior Data Scientist&nbsp;</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><b style="font-weight: 700">Notice Period: Immediate / Less than 15 days</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly skilled <b style="font-weight: 700">Data Scientist</b> with experience in <b style="font-weight: 700">Forecasting</b> to join our team. The ideal candidate will have a strong background in statistical forecasting, machine learning, and data analysis, with a proven ability to develop, deploy, and maintain scalable forecasting models. This role requires extensive experience working with large datasets, and proficiency in <b style="font-weight: 700">PySpark</b> is essential for our big data environment.</div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><div style=""><br></div><ul>  <li style=""><b style="font-weight: 700">Forecasting &amp; Modeling:</b> Design, build, and deploy end-to-end forecasting models using statistical and machine learning techniques (e.g., ARIMA, Prophet, deep learning models, XGBoost).</li>  <li style=""><b style="font-weight: 700">Big Data Processing:</b> Utilize PySpark to process, clean, and engineer features from massive, distributed datasets.</li>  <li style=""><b style="font-weight: 700">Data Analysis &amp; Insights:</b> Analyze large-scale datasets to identify trends, seasonality, and key drivers. Translate complex analytical findings into clear, actionable business insights for stakeholders.</li>  <li style=""><b style="font-weight: 700">Pipeline &amp; MLOps:</b> Develop and maintain automated data and forecasting pipelines in a production environment. Implement best practices for model monitoring, version control (e.g., Git), and model performance tracking.</li>  <li style=""><b style="font-weight: 700">Collaboration:</b> Work closely with cross-functional teams, including data engineering, business intelligence, and business leaders, to understand requirements and ensure solutions align with business goals.</li>  <li style=""><b style="font-weight: 700">Communication: </b>Present complex methodologies and results to both technical and non-technical audiences, influencing strategic decisions with data-driven recommendations.</li>  <li style=""><b style="font-weight: 700">Research &amp; Development:</b> Stay up-to-date on industry trends and advancements in forecasting methodologies and tools. Propose and implement innovative solutions to improve forecast accuracy and efficiency.</li></ul><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">What do we expect?</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Qualifications</b></div><div style=""><br></div><ul>  <li style="">Experience: 5+ years of professional experience in a data science, forecasting, or advanced analytics role.</li>  <li style="">Education: A bachelors or masters degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Skills:</b></div><div style=""><br></div><ul>  <li style="">Expertise in Python with a deep understanding of relevant libraries (e.g., scikit-learn, statsmodels, Prophet, PyTorch/TensorFlow).</li>  <li style="">Proven proficiency with PySpark for large-scale data manipulation and model building.</li>  <li style="">Strong knowledge of SQL for data extraction and analysis.</li>  <li style="">Experience with Azure cloud platform &amp;amp; Data Bricks</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Soft Skills:</b></div><div style=""><br></div><ul>  <li style="">Excellent problem-solving and analytical skills.</li>  <li style="">Strong communication and storytelling abilities to convey complex ideas.</li>  <li style="">Ability to work both independently and collaboratively in a fast-paced environment.</li>  <li style="">A proactive and adaptable mindset, with a continuous learning approach.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Data Scientist / Senior Data Scientist -  Forecasting

<div style=""><b style="font-weight: 700">Job Title : Data Scientist&nbsp; - Dataiku</b></div><div style=""><b style="font-weight: 700">Location : </b>&nbsp;Chennai</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Role Overview:</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Design, build, and maintain ETL pipelines using Dataiku and related tools.</li>  <li style="">Develop and manage Dataiku recipes, flows, and plugins to enable scalable data processing.</li>  <li style="">Implement and support Dataiku WebApp development for business use cases.</li>  <li style="">Ensure data quality, integrity, and governance across all data pipelines and workflows.</li>  <li style="">Work with Amazon Redshift for data storage, transformations, and performance optimization.</li>  <li style="">Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions.</li>  <li style="">Optimize performance of data pipelines, troubleshoot issues, and improve efficiency.</li>  <li style="">Write reusable, efficient, and scalable Python and SQL code to support ETL processes.</li></ul><div style=""><b style="font-weight: 700">&nbsp;</b></div><div style=""><b style="font-weight: 700">Must-Have Skills</b></div><ul>  <li style="">Strong experience with ETL pipeline design and development.</li>  <li style="">Expertise in Data quality management and Data governance frameworks.</li>  <li style="">Hands-on experience with Dataiku platform (Recipes, Flows, Plugins).</li>  <li style="">Understanding and/or experience with Dataiku WebApp development.</li>  <li style="">Proficiency in Python and SQL for data engineering tasks.</li>  <li style="">Hands-on experience with Amazon Redshift database (queries, optimization, integration with Dataiku).</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><br></div><div style=""><br></div>

Dataiku Engineers

<div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global AI and analytics consulting firm. With &nbsp;&nbsp;data and technology at the core of our solutions, &nbsp;&nbsp;our 3900+ tribe is solving problems that eventually impact the lives &nbsp;&nbsp;of millions globally. Our culture is modelled around expertise and respect &nbsp;&nbsp;with a team-first mindset. Headquartered in Silicon Valley, you’ll find our &nbsp;&nbsp;delivery centers across the globe and offices in multiple cities across &nbsp;&nbsp;India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.</div><div style="">We’re Great Place to &nbsp;&nbsp;Work-Certified™. Working at Tiger &nbsp;&nbsp;Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams &nbsp;&nbsp;that push the boundaries of what is possible and build solutions that &nbsp;&nbsp;energize and inspire.</div><div style=""><b style="font-weight: 700">About the role</b></div><div style="">As a DevOps Engineer/Lead, you will work with our DevOps team to build, test, and maintain the infrastructure. In doing so, you</div><div style="">will closely collaborate with program leads, technology architects across global locations.</div><div style="">More specifically, you might:</div><div style="">• Estimate for Cloud Platform automation and DevOps activities and build proposals.</div><div style="">• Plan and perform Infrastructure automation, Build, Deploy, and Release automation on various Cloud platforms.</div><div style="">• Design and configure DevSecOps pipeline for various projects, working with the Client and Project teams.</div><div style="">• Define, articulate, and evangelize Cloud Platform Automation activities.</div><div style="">• Ideate with your peers. Being supportive of their work, mentoring, and guiding fresh talent in the capability.</div><div style="">• Conduct technical sessions for stakeholders internally or externally.</div><div style="">Desired Skills and Experience</div><div style="">• 3-7 years of experience</div><div style="">• Solid experience in Azure cloud, designing, and hands-on development of cloud-based analytics solutions.</div><div style="">Keen interest in working on Azure Data Factory, Azure Synapse, Azure Spark, Azure SQL, Azure Data Lake, and Azure App Service is required.</div><div style="">• Deep understanding of Dev-Ops processes (including CI/CD) and Infrastructure by performing effective code reviews. Collaborate with Product Owners and Stakeholders in defining analytics requirements. Translate business requirements into design architectural documents.</div><div style="">• Ability to perform Unit and Integration tests to assure quality for all developed artifacts and provide support for UAT and Production deployment and checkout activities.</div><div style="">• DevOps experience using GitHub, GitHub Actions, GitHub Workflows, Azure DevOps, Jenkins, SonarQube, Jfrog, Azure artifacts, Terraform, Docker, and Kubernetes.</div><div style="">• Collaborate with other specialists to implement scalable, secure solutions. Ability to understand existing CI/CD pipelines and perform enhancements based on new requirements and enjoys the</div><div style="">implementation of the CI/CD pipelines in an organization that has firmly adopted Agile.</div><div style="">• Good understanding of deploying the React, Python-based application using the CI/CD pipeline.</div><div style="">Excellent communication skills and the ability to condense complicated scenarios into simple ones and manage stakeholders.</div><div style="">• Deep understanding of system interdependencies and limitations. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep</div><div style="">knowledge and experience.</div><div style="">• Ability to multi-task and manage multiple projects.</div><div style="">• Should be willing to quickly upskill on new technologies, tools, and paradigms.</div><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><b style="font-weight: 700">Note: </b>The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style=""><br></div><div style=""><br></div>

DevOps Engineer - Data & AI Labs

<div style=""><b style="font-weight: 700">Role: Lead/Senior Lead- (Python + Gen AI)</b></div><div style=""><b style="font-weight: 700">Location: </b>Chennai / Hyderabad / Bangalore (Hybrid)</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who are we</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale.</div><div style="">We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move</div><div style="">forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working</div><div style="">closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank</div><div style="">in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style=""><br></div><div style=""><b style="font-weight: 700">About the Role:</b></div><div style="">We are seeking a Python Developer with strong backend engineering expertise and experience in building scalable, integration-heavy applications. This role involves designing, developing, and deploying backend services, APIs, and automation solutions that power enterprise-scale applications.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><div style=""><br></div><div style=""> <b style="font-weight: 700">Backend Development</b></div><ul>  <li style="">Design and implement robust, scalable back-end services using Python (FastAPI, Flask, Django).</li>  <li style="">Build and integrate APIs and microservices for enterprise applications.</li>  <li style="">Ensure performance optimization, security, and cost efficiency.</li></ul><div style=""> <b style="font-weight: 700">Automation &amp; Integration</b></div><ul>  <li style="">Develop automation workflows to optimize business processes.</li>  <li style="">Integrate systems and data pipelines through APIs and cloud-native solutions.</li>  <li style="">Leverage modern integration platforms (Workato, MuleSoft, or similar) where relevant.</li></ul><div style=""> <b style="font-weight: 700">DevOps &amp; Governance</b></div><ul>  <li style="">Apply CI/CD practices, version control (Git), and containerization (Docker/Kubernetes).</li>  <li style="">Monitor and maintain services for reliability and compliance.</li>  <li style="">Document designs, workflows, and best practices.</li></ul><div style=""> <b style="font-weight: 700">Collaboration</b></div><ul>  <li style="">Work closely with analysts, stakeholders, and engineering teams to translate requirements into &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;scalable solutions.</li></ul><div style=""><b style="font-weight: 700">Required Skills:</b></div><ul>  <li style="">4–6 years of hands-on experience in <b style="font-weight: 700">Python backend development</b>.</li>  <li style="">Strong understanding of <b style="font-weight: 700">APIs, microservices, and system integration</b>.</li>  <li style="">Experience with cloud platforms (AWS, Azure, GCP).</li>  <li style="">Proficiency in DevOps tools (CI/CD, Git, Docker/Kubernetes).</li>  <li style="">Strong problem-solving and debugging abilities.</li>  <li style="">Excellent communication and stakeholder engagement.</li></ul><div style=""><b style="font-weight: 700">Preferred Skills:</b></div><div style="">· Exposure to cloud platforms (Azure, AWS, GCP)</div><div style="">· Exposure to <b style="font-weight: 700">Generative AI frameworks (LangChain, Hugging Face, OpenAI APIs, etc.)</b>.</div><div style="">· Familiarity with Agile delivery frameworks.</div><div style="">· Knowledge of DevOps pipelines, automated testing, monitoring frameworks.</div><div style="">· Experience with database technologies and data integration.</div><div style=""><br></div>

Lead/Senior Lead-(Python+GenAI)

<div style=""><b style="font-weight: 700">Job Title:</b> Senior Lead Engineer – Angular + NodeJS<br><b style="font-weight: 700">Locations (India):</b> Chennai | Hyderabad | Bangalore</div><div style=""><b style="font-weight: 700">About Tiger Analytics</b><br>Tiger Analytics is a global leader in AI and analytics, partnering with Fortune 1000 companies to solve their most complex challenges. We deliver full-stack AI and analytics solutions that drive measurable outcomes and business value at scale. Our mission is to push the boundaries of AI and analytics, helping enterprises navigate uncertainty and move forward with confidence.</div><div style="">Our 4000+ technologists and consultants are spread across the US, Canada, UK, India, Singapore, and Australia, working with clients across industries such as CPG, Retail, BFS, Insurance, Manufacturing, Life Sciences, and Healthcare. Recognized as a <em>Great Place to Work-Certified™ (2022–24)</em> and featured by Forrester, Gartner, HFS, and Everest, we have also been ranked among the “Best” and “Fastest Growing” analytics firms by Inc., Financial Times, Economic Times, and Analytics India Magazine.</div><div style=""><b style="font-weight: 700">Role Overview</b><br>We’re seeking an experienced <b style="font-weight: 700">Angular + Node.js Engineer</b> with strong expertise in full-stack development and cloud-native applications. If you’re passionate about building responsive, scalable applications and thrive in a collaborative, agile environment, this is the role for you.</div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Build responsive and dynamic web applications using <b style="font-weight: 700">Angular 13+</b></li>  <li style="">Develop scalable backend services and RESTful APIs using <b style="font-weight: 700">Node.js 16+ and Express.js</b></li>  <li style="">Design and optimize <b style="font-weight: 700">MongoDB schemas and queries</b> for performance and scalability</li>  <li style="">Deploy, manage, and monitor applications on <b style="font-weight: 700">Azure services</b> (App Services, Functions, Cosmos DB, Azure DevOps)</li>  <li style="">Collaborate with cross-functional teams to design and implement new features</li>  <li style="">Write clean, efficient, and maintainable code following best practices</li>  <li style="">Troubleshoot, debug, and resolve application issues effectively</li>  <li style="">Ensure applications meet <b style="font-weight: 700">security, performance, and quality</b> standards</li>  <li style="">Actively contribute to Agile processes, preferably in a <b style="font-weight: 700">Kanban</b> environment</li></ul><div style=""><b style="font-weight: 700">Requirements</b></div><ul>  <li style="">Strong experience with <b style="font-weight: 700">Angular 13+</b> for front-end development</li>  <li style="">Proficiency in <b style="font-weight: 700">Node.js 16+ and Express.js</b> for backend development</li>  <li style="">Solid knowledge of <b style="font-weight: 700">MongoDB</b>, including schema design and query writing</li>  <li style="">Hands-on experience with <b style="font-weight: 700">Azure services</b> (App Services, Functions, Cosmos DB, Azure DevOps)</li>  <li style="">Strong understanding of <b style="font-weight: 700">RESTful API design</b> and JSON data interchange</li>  <li style="">Familiarity with <b style="font-weight: 700">Agile methodologies (Kanban preferred)</b></li>  <li style="">Ability to write <b style="font-weight: 700">clean, modular, and well-documented code</b></li>  <li style="">Strong problem-solving, debugging, and collaboration skills</li></ul>