Senior AIML Developer
Experience Required: Minimum 4+ Years
Industry: Technology / AI / Software Development
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About the Role:
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.
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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.
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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.
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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.