Python & Generative AI

About Client :-

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.

They provide a variety of services, including consulting, technology, professional, and outsourcing services.

Job Details:-

location : Pan India

Mode Of Work : Hybrid

Notice Period : Immediate Joiners

Experience : 6-10yrs

Type Of Hire : Contract to Hire

Job Summary:

We seek an experienced Software Engineer with 7+ years of hands-on expertise in Python development and Generative AI technologies. The ideal candidate will design, develop, and deploy RESTful APIs and end-to-end GenAI solutions, driving innovation through experimentation in Jupyter notebooks, robust API development, and advanced prompt engineering across leading LLM platforms.

Key Responsibilities:

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Develop and maintain REST APIs using Python frameworks such as FastAPI, Flask, or Django REST Framework

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Conduct prototyping and experimentation in Jupyter notebooks utilizing ML libraries including scikit-learn, TensorFlow, and PyTorch

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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