Senior AI / ML Developer

4 - 8 years

10 - 11 Lacs

Posted:5 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a talented and driven Full Stack Developer with strong expertise in Python, Node.js and React to join our growing engineering team. The ideal candidate will have a solid foundation in backend and frontend development, with working experience in AI/ML and Natural Language Processing (NLP) domains. This role involves building scalable web applications, integrating AI/ML pipelines, and contributing to the architecture of intelligent systems used in healthcare, and content analytics etc.

Key Responsibilities:

Develop, test, and maintain scalable backend services using Python (e.g., FastAPI, Flask) and Node.js. Build dynamic, responsive UIs using React.js and modern frontend tools. Design and consume RESTful and GraphQL APIs. Integrate and deploy AI/ML models, especially related to Natural Language Processing (NLP). Work closely with data scientists to turn ML prototypes into production-ready systems. Implement secure and efficient data processing workflows (ETL, real-time pipelines, etc.). Collaborate with cross-functional teams including Product, Data, and DevOps. Participate in code reviews, design discussions, and agile development practices.

Required Skills & Qualifications:

4+ years of professional full stack development experience. Strong proficiency in Python and experience with web frameworks (FastAPI, Django, or Flask). Solid experience with Node.js backend development. Hands-on experience with React.js, TypeScript/JavaScript, and frontend state management tools (e.g., Redux, Context API). Exposure to AI/ML concepts, with implementation experience using libraries such as TensorFlow, PyTorch, scikit-learn, or similar. Practical experience in Natural Language Processing using Amazon Bedrock and libraries such as spaCy, NLTK, Hugging Face Transformers, etc. Familiarity with database systems (PostgreSQL, MongoDB, etc.) and cloud platforms (AWS, GCP, or Azure). Experience with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes is a plus). Strong problem-solving skills, attention to detail, and ability to learn quickly.

Nice to Have:

Experience working with LLMs (Large Language Models) or generative AI applications. Familiarity with vector databases (e.g., Pinecone, FAISS) and embeddings. Experience in training and deploying ML models into production environments. Knowledge of serverless architecture and event-driven design.

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