Back
Tier-1 employer, metro location, and sought senior ML/AI skills create moderate competition.
Deep ML/AI specialization is transferable, though energy domain experience is beneficial.
Explicit 8+ years, advanced degree requirement, and mandatory production ML/LLM/MLOps experience create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end design, development, deployment, and operationalization of scalable AI/ML solutions with measurable business impact at enterprise scale.
Drive advanced AI system implementation covering Generative AI, NLP, time-series forecasting, computer vision, optimization, and commercial analytics, ensuring adherence to MLOps best practices and enterprise standards.
Collaborate with cross-functional teams and senior leadership to define AI strategy, prioritize use cases, mentor AI practitioners, and stay updated on emerging AI technologies for innovation.
Master’s or Ph.D. in Data Science, Computer Science, AI, Applied Math, Statistics, Engineering, or related field with minimum GPA of 7.0.
8+ years of industry experience in developing and deploying production-grade AI/ML solutions.
Proven expertise in Generative AI, LLMs, agentic AI, NLP, time-series forecasting, computer vision, or reinforcement learning.
Strong programming skills in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, MLflow) and cloud/enterprise deployment platforms (e.g., Azure, Kubernetes).
Experienced leader capable of overseeing complex AI initiatives from problem formulation through to operational deployment and continuous improvement in large enterprises.
Technically versatile with deep knowledge across AI subfields such as Generative AI, reinforcement learning, and commercial optimization suited for energy or industrial domains.
Strategic thinker adept at aligning AI technology with business priorities, mentoring technical teams, managing cross-functional collaboration, and driving AI adoption in regulated or complex environments.