Posted:11 hours ago|
Platform:
On-site
Contractual
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.
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.
Detailed JD :
Key Responsibilities:
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Architect and productionize Generative AI pipelines and workflows
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Design and optimize prompts, prompt templates, and chain-of-thought strategies for large language models (OpenAI, Anthropic, Hugging Face, etc.)
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Integrate vector databases and implement retrieval-augmented generation (RAG) and embedding-based solutions
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Containerize applications using Docker and manage deployments via Kubernetes or similar orchestration platforms
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Build and maintain CI/CD pipelines for both code and model artifacts using tools like GitLab CI/CD, GitHub Actions, or Cloud Build
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Monitor system performance, cost efficiency, accuracy, and ethical compliance; iterate on model evaluation metrics accordingly
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Mentor junior engineers on Python best practices, software design principles, and Generative AI methodologies
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
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Minimum 7 years of professional experience in Python software development
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Strong expertise in REST API design and development with FastAPI, Flask, or Django REST Framework
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Extensive experience using Jupyter notebooks for data exploration, prototyping, and model training
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Proficient with core machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
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Demonstrated experience in prompt engineering and working with multiple large language model providers
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Solid understanding of vector embeddings, similarity search, and retrieval-augmented generation architectures
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Hands-on experience with Docker containerization and orchestration platforms like Kubernetes, Cloud Run, or ECS
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Proven track record in productionizing ML/AI systems including logging, tracing, metrics, and automated rollback mechanisms
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