Artificial Intelligence Engineer

2 weeks ago

Bengaluru India Zibtek - Custom Software Development Company Full time

Job Description About the Role We're looking for a passionate AI/ML Engineer with 3+ years of experience who can bridge the gap between machine learning models and production-ready APIs using Node.js and FastAPI. In this role, you'll train, fine-tune, and deploy ML models; integrate them with scalable backend systems; and build intelligent, data-driven applications using the latest in GenAI including Hugging Face, OpenAI, LangChain, and more. Key Responsibilities - Design, train, and deploy machine learning and deep learning models for NLP, vision, or recommendation systems. - Develop robust APIs using Node.js (Express/Nest.js) and Python FastAPI for serving AI/ML models. - Fine-tune and serve Hugging Face Transformers and LLMs (BERT, GPT, Llama, etc.). - Build data ingestion and preprocessing pipelines using Python, Pandas, and FastAPI. - Integrate LLMs and AI agents using frameworks such as LangChain, LlamaIndex, or OpenAI API. - Implement MLOps workflows including model tracking, CI/CD, and monitoring with tools like MLflow or DVC. - Deploy and scale models using Docker, Kubernetes, AWS/GCP/Azure, or serverless architectures. - Collaborate with cross-functional teams (data, frontend, product) to build and ship AI-driven features. Required Skills Programming: - Backend: Node.js (Express/Nest.js), FastAPI - ML/AI: Python, TensorFlow, PyTorch, scikit-learn AI/ML Tools: - Hugging Face Transformers, LangChain, OpenAI API, LlamaIndex Data Handling: - Pandas, NumPy, SQL/NoSQL databases DevOps/MLOps: - Docker, Kubernetes, Git, MLflow, DVC API Development: - REST, GraphQL, WebSocket Additional Expertise: - Strong understanding of LLM architecture, embeddings, and vector databases such as Pinecone, FAISS, or Milvus. Good to Have - Cloud Deployment: AWS (SageMaker/Lambda), GCP (Vertex AI), Azure ML - Experience with TypeScript for Node.js backend. - Worked on chatbots, RAG (Retrieval-Augmented Generation) systems, or AI assistants. - Familiarity with FastAPI async endpoints for real-time inference. - Exposure to model quantization and optimization for faster inference. - Experience integrating FastAPI microservices into Node.js ecosystems. Education B.Tech / M.Tech / MCA in Computer Science, Artificial Intelligence, or a related field. Why Join Zibtek Zibtek is a global software development and technology services company that partners with clients across industries and geographies. Working here gives you exposure to international projects, cutting-edge technologies, and opportunities to solve real-world business challenges that create measurable impact. Join a forward-thinking, people-driven organization where your ideas matter, your growth is prioritized, and your work contributes to global innovation in AI and software development.

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