Python Developer with AI ML, Data Science Experience - Hyderabad and Pune

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Dear Professionals

Greetings from TCS!!!

Job Title: Python developer with Python, AI ML, Data Science

Experience: 6-10 Years

Location: Hyderabad and Pune.

A Senior Python Developer with 6 to 10 years of experience in AI, Machine Learning, and Data Science is expected to lead the design and deployment of scalable, production-grade AI solutions. At this level, the role shifts from individual coding to high-level architecture, mentorship, and aligning technical outputs with strategic business goals.

Job Summary

Senior Python AI/ML & Data Science Developer

Core Responsibilities

• AI/ML Model Development:

  Design, develop, and implement advanced machine learning and deep learning models for classification, regression, and clustering.

• Data Science & Engineering:

  Perform complex data preprocessing, cleaning, and feature engineering on large-scale datasets. Build robust data pipelines to support model training and evaluation.

• System Architecture:

  Architect and maintain scalable backend services and microservices using Python to integrate AI models into production environments.

• MLOps & Deployment:

  Deploy models into production using containerization (Docker, Kubernetes) and manage model performance using MLOps tools like MLflow or SageMaker.

• Technical Leadership:

  Provide guidance and mentorship to junior developers and data scientists. Champion best practices in coding, security, and data ethics.

• Stakeholder Collaboration:

  Translate complex business requirements into technical solutions and present actionable insights to non-technical partners.

Required Skills and Qualifications

• Experience:

  6–10 years in Python development focused on AI/ML and data science projects.

• Core Python:

  Advanced proficiency in Python 3.x, including asynchronous programming, OOP, and multi-process architecture.

• AI/ML Frameworks:

  Expertise in Scikit-learn, TensorFlow, PyTorch, and Keras. Experience with LLMs and generative AI is highly preferred.

• Data Libraries:

  Proficiency with NumPy, Pandas, Matplotlib, and Seaborn.

• Backend & APIs:

  Strong experience with FastAPI or Flask for building and deploying ML APIs.

• Data Management:

  Expert knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Azure Cosmos DB).

• Cloud Platforms:

  Hands-on experience with AWS (Sagemaker), Azure (Azure ML), or Google Cloud (Vertex AI).

• DevOps/MLOps:

  Proficiency in Git, CI/CD pipelines, Docker, and Kubernetes.

Minimum Qualification:

15 years of full-time education

If you are Interested in the above opportunity and having the experience as required .

kindly share your updated resume to saransubramanian.jk@tcs.com immediately with the details below (Mandatory)

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