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Tier-1 brand, mid-level Bangalore AI/ML role with broad LLM and MLOps requirements increases competition.
Specialized LLM, MLOps, and cloud infrastructure expertise reduces cross-industry transferability.
Explicit 4+ years plus mandatory LLM, MLOps, cloud, and infra skills create high filtering rigidity.
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Lead AI/ML initiatives leveraging large language models (LLMs) and advanced analytics to drive data-driven business insights and optimized client solutions.
Develop, deploy, and maintain scalable AI/ML systems using Python, microservices, container orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).
Implement MLOps practices, including CI/CD pipelines, infrastructure as code, model serving, quantization, and experiment tracking for AI/ML workflows.
4-8 years of relevant experience in AI/ML or related fields with focus on LLM frameworks and production-grade ML systems.
Strong programming skills in Python; familiarity with Go or Rust a plus.
Experience with microservices architecture, Kubernetes, Terraform/CloudFormation, and containerization technologies.
Bachelor’s degree in Engineering (B.Tech) or higher (M.Tech, MCA, MBA).
Experienced AI/ML engineer with demonstrated expertise in building and optimizing LLM-based applications (e.g., chatbots, recommendation systems).
Proficient in full ML lifecycle including feature engineering, model fine-tuning, deployment, and monitoring using MLOps tools and cloud services.
Comfortable working in hybrid environments delivering scalable AI solutions incorporating advanced techniques like vector databases, semantic search, model quantization, and prompt engineering.