Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong Tier-1 employer, popular mid-level ML role, metro location, and broad skillset requirements increase candidate competition.
Strong ML and infra emphasis makes skills transferable, but healthcare SME expectations increase specificity.
Multiple mandatory ML, GenAI, infra, and CI/CD skills plus SME leadership requirements raise strictness.
Lead and coordinate 5-6 member cross-location teams for delivering AI/ML application solutions.
Design, build, deploy, and maintain scalable AI-powered applications ensuring end-to-end ownership and application performance optimization.
Serve as Subject Matter Expert (SME) overseeing architecture, design reviews, stakeholder alignment, and delivery quality using Agile practices.
Bachelor's or Master’s degree in Computer Science, Data Science, Statistics or related field with minimum 16 years formal education; correspondence courses not accepted.
Experienced in building and deploying AI/ML applications using Python, NumPy, Pandas, PyTorch, TensorFlow, FastAPI, and GenAI frameworks including LangChain, LangGraph, and Pydantic.
Proficient with deep learning algorithms (ANN, CNN, RNN, LSTM, VAE, GPT), exploratory data analysis, model evaluation, and performance metrics.
Skilled in CI/CD tools (Jenkins/GitHub), container orchestration (Kubernetes), infrastructure as code (Terraform), Azure cloud, SQL/NoSQL databases, and designing agentic architectures with design patterns and MCPs.
Experienced technical lead capable of managing multi-location teams and delivering enterprise AI/ML solutions end-to-end with accountability.
Strong domain expertise in AI/ML development lifecycle including model design, deployment, evaluation, and system scalability considerations.
Practiced in Agile methodologies and effective stakeholder communication to influence alignment and execution in complex environments.