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Tier-1 brand, Bangalore metro, mid-level ML/GenAI role attracts many qualified applicants.
ML/GenAI skills are transferable across industries, though insurance domain experience is only a plus.
Explicit 5+ years, production Python, ML frameworks, GenAI and containerization requirements enforce strict shortlisting.
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Design, build, and test machine learning models collaboratively with data scientists on the Azure platform to solve complex business challenges.
Research and implement advanced AI/ML techniques including zero-shot/few-shot learning, embedding techniques, and fine-tuning of large language models.
Develop reusable tools for modeling pipelines; ensure high-quality, secure production code; manage stakeholder communications and adapt to shifting priorities.
5+ years of professional experience in Machine Learning with production-level Python coding expertise.
Proficiency with ML frameworks like TensorFlow or PyTorch; experience in Gen AI, LLM fine-tuning, and scalable end-to-end Machine Learning/NLP system design.
Experience with containerization technologies (Kubernetes, Docker) and familiarity with CI tools such as Jenkins.
Work Experience Required: 5+ years; Location: Bangalore, India; Employment Type: Full-time.
Experienced in deploying distributed, high throughput, and low latency ML architectures in production environments.
Skilled in advanced NLP techniques including text preprocessing, entity extraction, encoder-decoder models, and similarity matching techniques.
Comfortable handling complex AI projects with a strong focus on production-ready code quality, automation of pipelines, and cross-functional stakeholder interactions.