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Job Description

About Company


They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.


About Client:


Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.

Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

JD –


Must Have Skills: Python


Good to have : Generative AI


Experience: 6+Years


Locations: Chennai/Pune


Detailed JD :


RESTful APIs


Key Responsibilities:

Python frameworks

ML libraries including scikit-learn, TensorFlow, and PyTorch

Architect and productionize Generative AI pipelines and workflows

Design and optimize prompts, prompt templates, and chain-of-thought strategies for large language models (OpenAI, Anthropic, Hugging Face, etc.)

Integrate vector databases and implement retrieval-augmented generation (RAG) and embedding-based solutions

Containerize applications using Docker and manage deployments via Kubernetes or similar orchestration platforms

Build and maintain CI/CD pipelines for both code and model artifacts using tools like GitLab CI/CD, GitHub Actions, or Cloud Build

Monitor system performance, cost efficiency, accuracy, and ethical compliance; iterate on model evaluation metrics accordingly

Mentor junior engineers on Python best practices, software design principles, and Generative AI methodologies

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

Minimum 7 years of professional experience in Python software development

Strong expertise in REST API design and development with FastAPI, Flask, or Django REST Framework

Extensive experience using Jupyter notebooks for data exploration, prototyping, and model training

Proficient with core machine learning libraries such as scikit-learn, TensorFlow, or PyTorch

Demonstrated experience in prompt engineering and working with multiple large language model providers

Solid understanding of vector embeddings, similarity search, and retrieval-augmented generation architectures

Hands-on experience with Docker containerization and orchestration platforms like Kubernetes, Cloud Run, or ECS

Proven track record in productionizing ML/AI systems including logging, tracing, metrics, and automated rollback mechanisms

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