Overview
AI/ML Engineer role focused on building and deploying Generative AI solutions and autonomous agent capabilities using machine learning and data engineering.
What you'll do
- Own Gen AI projects from ideation through deployment.
- Develop and fine-tune Generative AI models to optimize business processes and productivity.
- Create agent AI architectures for autonomous decision-making and multi-agent collaboration.
- Build and optimize LLM applications using RAG and robust ML pipelines for NLP and multimodal tasks.
- Use vector databases and LLM APIs in AI solution development.
- Collaborate with cross-functional teams to integrate AI solutions into real-world applications (e.g., chatbots, copilots, automation tools).
- Conduct continuous research on state-of-the-art GenAI, autonomous agents, and NLP.
What you'll need
- Strong foundation in Machine Learning & Deep Learning with neural networks, optimization techniques, and model evaluation.
- Experience with LLMs and Transformer architectures (e.g., BERT, GPT, LLaMA, Mistral).
- Proficiency in Python, LangChain, and Hugging Face transformers.
- Experience with MLOps.
- Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments.
- Knowledge of multimodal AI that integrates text, image, and other modalities into unified models.
Nice to have
- Experience with prompt engineering, fine-tuning, and RAG techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and deployment tools (Docker, Kubernetes, FastAPI, Flask).
Details
- Location: Bengaluru, India.
Read the full description and apply on the company’s own careers page.
