Back
Tier-1 brand, mid-level ML role in Bangalore with broad GenAI skillset yields high applicant density.
Core ML/GenAI production skills are highly transferable across industries despite insurance domain being a plus.
Explicit 5+ years, mandatory ML/GenAI production experience and specific tech stack make shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build and test machine learning models on Azure platform to solve complex business challenges.
Research and implement state-of-the-art AI techniques including zero-shot/few-shot learning, embedding, and fine-tuning of models.
Develop reusable tools for modeling pipeline, ensure quality code, manage stakeholder expectations, and adapt to shifting priorities.
5+ years of experience in Machine Learning with expertise in production-level Python code.
Experience with ML frameworks (TensorFlow/PyTorch), scalable end-to-end ML/NLP systems, and distributed architectures.
Expertise in Generative AI, LLM fine-tuning, Agentic AI, NLP preprocessing and modeling techniques.
Experience with containerization (Kubernetes, Docker) and CI tools such as Jenkins.
Experienced in implementing and scaling advanced AI/ML models especially in Generative AI and NLP on cloud platforms (Azure).
Comfortable working in a fast-paced, high-priority shifting environment with strong ownership of AI product quality and delivery.
Capable of architectural trade-off analysis and developing robust AI pipelines aligned with business objectives.