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Tier-1 brand, mid-level ML role, Bangalore location, and broad skillset increase competition.
Machine learning production and engineering skills transfer easily across industries.
Explicit 4+ years and mandatory ML frameworks, Azure, containerization, and production API experience tighten filters.
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Develop and implement generative AI solutions and machine learning pipelines to address complex business challenges within the insurance domain.
Collaborate closely with business partners and data scientists to scope problems, gather requirements, and integrate data using APIs and pipelines on Azure platform.
Ensure production-quality code adhering to security and performance standards, working with containerization (Kubernetes, Docker) and CI tools (Jenkins).
4+ years of industry experience in machine learning with strong Python programming skills.
Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, or related technical field.
Experience with ML frameworks such as TensorFlow or PyTorch and designing scalable ML/NLP systems.
Located in Bangalore, India; Full-time role.
Experienced in production-level machine learning, especially with generative AI and NLP techniques including zero-shot/few-shot learning and fine-tuning.
Proficient in building high throughput, low latency distributed ML architectures with containerized deployments and API integration.
Comfortable operating in an agile, fast-paced environment collaborating with cross-functional teams to deliver measurable business impact.