Chennai, Bangalore, Hyderabad

Tiger Analytics is a global   leader in AI and analytics, helping Fortune 1000 companies solve their   toughest challenges. 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. Come work with us to provide certainty to shape a better   tomorrow.

We are a Great Place to   Work-Certified™ (2022-24) and have been consistently ranked among the ‘Best’   and ‘Fastest growing’ analytics firms lists by Inc., Financial Times,   Economic Times, Analytics India Magazine etc. www.tigeranalytics.com

We are seeking a highly   skilled Director of Data Science to lead the development, deployment,   and production of ML/AI models and data platforms. The ideal candidate will   have deep technical expertise and the ability to guide clients on solving   enterprise scale business problems with future ready architecture, highly   accurate AI models and efficient deployment. This role demands a strategic   leader capable of both technical execution and advisory.

-Lead the design and implementation of scalable AI   projects.  Come up with architecture   that support large-scale model deployment, automation of ML workflows, and   real-time data processing using cloud-native technologies (AWS, Azure,   GCP).

-Spearhead the development and implementation of Generative   AI solutions for diverse applications such as text to query, search and   summarization, chatbot, autonomous agents

-Serve as a technical advisor to clients, guiding them on   best practices in architecture, platform selection, and the end-to-end   deployment of ML/AI solutions.

-Oversee the transition of models from proof-of-concept   to production environments, ensuring performance, scalability, and   maintainability.

-Work closely with product, engineering, and business   teams to ensure alignment between data-driven strategies and overall business   goals. Collaborate with data engineers and IT teams to ensure robust data   pipelines and infrastructure.

-Ensure data governance, privacy, and compliance   requirements are adhered to throughout model deployment and operation.

-The person should be driven by a strong desire to   continuously learn and to mentor the team, fostering their growth and the growth   of Data Science practice.

● 15+ years in Data Science,   AI, and ML, with a strong focus on production-scale environments and AI/ML   platform development with recent experience in Generative AI  technologies

● Strong analytical skills   with proficiency in the application of statistical analysis and machine learning   algorithms like Linear Regression, Logistic Regression, Random Forest,   Boosting Trees, SVM, ARIMAX, LSTM, Deep Learning etc.

● Strong experience in AI/ML   frameworks (TensorFlow, PyTorch, Keras), MLOps practices, and automation   tools for continuous model deployment and monitoring.

●Proficient in big data   technologies (Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and modern   data architectures (data lakes, data warehouses).

● Programming proficiency in   Python, R, and experience with containerization technologies (Docker,   Kubernetes).

● Enthuse to collaborate with   various stakeholders across the organization and take complete ownership of   deliverables.

● Experience solving high   business value problems using AI for Retail/CPG/BFSI/Pharma

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.

Note: The designation will be   commensurate with expertise and experience. Compensation packages are among   the best in the industry.