Position: Lead AI/ML Engineer
Location: Bangalore
Employment Type: Full-time
About the Role
We are seeking a highly skilled AI/ML Engineer with deep expertise in designing, developing, and deploying machine learning and generative AI solutions. The ideal candidate will have extensive hands-on experience with modern ML frameworks, LLMs, and RAG architectures, and be capable of building scalable, production-ready AI systems.
Key Responsibilities
- Design, develop, and implement end-to-end AI/ML models and solutions for complex business problems.
- Work extensively with LLMs, Generative AI, and Retrieval-Augmented Generation (RAG) architectures.
- Build and optimize ML pipelines using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Leverage vector databases (e.g., FAISS, Pinecone, ChromaDB) for efficient similarity search and data retrieval.
- Integrate LangChain or LlamaIndex for developing intelligent, context-aware applications.
- Deploy, monitor, and maintain ML models on AWS, GCP, or Azure environments.
- Research and apply cutting-edge NLP, deep learning, and machine learning algorithms.
- Collaborate with cross-functional teams including data engineers, software developers, and product managers to deliver AI-driven solutions.
- Continuously evaluate and improve existing AI/ML models and workflows.
Required Skills
- Bachelor's degree in engineering or relevant field
- 7+ years of hands-on experience in Machine Learning and AI development.
- Strong proficiency in Python and familiarity with major ML frameworks (TensorFlow, PyTorch, Hugging Face).
- Proven experience with LLMs, Generative AI, and RAG-based solutions.
- Working knowledge of vector databases such as FAISS, Pinecone, or ChromaDB.
- Strong understanding of ML algorithms, deep learning architectures, and NLP techniques.
- Experience deploying models on cloud platforms (AWS, GCP, Azure).
- Familiarity with LangChain or LlamaIndex for LLM-based application development (preferred)
- Expertise in ETL/ELT Tools and Data Warehousing
- Strong Programming and Scripting Proficiency to build data pipelines
- Experience with Big Data Technologies like Apache Spark and Cloud Platforms services like S3, Data Factory, EMR, HDInsight, Dataflow
- Excellent problem-solving and analytical skills.
- Ability to work in a dynamic, fast-paced environment with minimal supervision.
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