Python Developer with AI ML, Data Science Experience - Hyderabad and Pune
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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.
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.
If you are interested in the above opportunity and have the required experience, kindly share your updated resume to saransubramanian.jk@tcs.com immediately with the details below:
- Name
- Contact No.
- Email id
- Skillset
- Total Experience
- Highest qualification (Year of completion with College and University Name)
- Current CTC
- Expected CTC
- Preferred Location
- Any gaps between your education or career (If yes please specify the duration)
- Will you be able to join within 30/45 days? (Yes/NO)
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
IT Services and IT Consulting
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