AIML Engineer - Vertex AI

Chennai, Bangalore, Hyderabad

Job Description

Job Title : AIML Engineer - Vertex AI

Location : Chennai, Bangalore, Hyderabad

Who we are

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 & 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.

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.

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

Curious about the role? What your typical day would look like?

As an AI/ML Engineer specializing in Generative AI and NLP, you will be at the forefront of AI innovation. You will design and deploy sophisticated models, focusing on Vertex AI to build Agentic workflows that solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven autonomy and intelligence to life.

Core Responsibilities

Agentic AI & NLP Development: Design, develop, and deploy advanced applications using Generative AI models (e.g., Gemini, GPT, LLaMA) and NLP algorithms. Lead the creation of autonomous agents capable of tool-use, reasoning, and multi-step task execution.
Vertex AI Orchestration: Leverage the Vertex AI platform to build, deploy, and monitor production-ready GenAI applications.
Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning to adapt models to specific enterprise use cases.
Agentic Reasoning & RAG: Implement advanced Retrieval-Augmented Generation (RAG) and agentic frameworks (like LangChain or CrewAI) to ensure agents can access external data and perform actions via API integrations.
Innovative Problem Solving: Tackle real-world business problems by providing creative, scalable AI-powered solutions that drive measurable results.
Cross-Functional Collaboration: Partner with Consulting and Engineering to integrate AI agents into broader business strategies, ensuring seamless deployment and high availability.
Client Engagement: Collaborate with clients to translate their needs into tailored AI solutions, educating them on the potential of Agentic AI to transform operations.

What Do We Expect?

Agentic Framework Mastery: Proven ability to design and build scalable LLM-based applications using agentic design patterns (Reasoning/Act, Planning, and Tool-Use).
GCP Expertise: Hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI, including managing datasets, training pipelines, and endpoint deployment.
Model Performance & Safety: Ability to address issues like bias and hallucinations by implementing robust guardrails and evaluation frameworks (e.g., Vertex AI Model Evaluation).
Deep Research Application: In-depth understanding of LLM architectures and the ability to apply cutting-edge research to solve complex problems.
Production-Level Python: Expert-level Python skills for complex data manipulation and large-scale model optimization.
Advanced Data Stack: Capability to develop sophisticated visualizations and ML models using libraries like Plotly and Scikit-learn, while writing clean, production-level code.
Communication Skills: Exceptional ability to translate technical AI concepts (like agentic reasoning or vector embeddings) into business insights for non-technical stakeholders.

You are important to us, let’s stay connected!

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.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities