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Mid-level generalist ML role in Bangalore with broad LLM/cloud skills and moderate brand increases applicant competition.
Core ML/AI skills transfer across industries, but healthcare regulatory experience increases domain specificity.
Explicit 5-10 years requirement plus mandatory ML frameworks and regulated healthcare constraints raise strictness.
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Design, develop, and deploy AI/ML solutions including traditional machine learning and advanced AI techniques such as LLMs, generative AI, and agentic AI systems.
Collaborate with engineers, product managers, and stakeholders to define project scope, success metrics, and deployment requirements.
Ensure AI systems meet accuracy, robustness, fairness, explainability, and responsible AI standards, including compliance with healthcare and regulatory requirements.
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field.
5-10 years of relevant work experience in AI/ML engineering roles.
Proficiency in AI programming languages (e.g., Python) and hands-on experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, AWS Bedrock, or Azure AI Foundry.
Solid software engineering skills and experience building end-to-end ML pipelines; professional proficiency in English.
Experienced in designing and tuning deep neural networks and advanced AI model architectures.
Familiar with autonomous/multi-agent systems and considerations for reliability, safety, and evaluation in agent-based AI.
Comfortable working in regulated industries such as healthcare with knowledge of compliance, governance, and documentation requirements.