Back
Tier-1 employer and Bangalore location increase competition, but senior AI specialization limits candidate pool.
Requires deep ML/LLM, MLOps and production AI experience, limiting cross-industry transferability.
Multiple mandatory senior years and specialized ML, MLOps, cloud, and leadership requirements enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and delivery of complex enterprise-scale AI systems including multi-component pipelines and autonomous AI agents.
Architect scalable AI model integration using APIs, distributed data pipelines, and microservices for production-ready solutions.
Provide senior technical leadership by defining standards, driving innovation, and collaborating with business units for AI-driven transformation.
Bachelor’s degree in computer science, engineering, or equivalent experience; Master’s degree preferred.
8+ years software engineering experience with at least 4 years in senior/lead AI/ML roles.
Expert-level proficiency in Python and strong experience with AI/ML frameworks like PyTorch, TensorFlow, or JAX.
Proven experience in MLOps/LLMOps, enterprise AI application lifecycle, cloud platforms (AWS, Azure, GCP), and container orchestration (Docker, Kubernetes).
Experienced leader capable of driving technical strategy and innovation in AI system design and delivery at enterprise scale.
Strong integration expertise with production AI models and scalable architectures focused on business process transformation.
Skilled in hands-on prototyping and rapid iteration, with evidence of managing complex cross-functional AI initiatives and influencing senior stakeholders.