Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro Bangalore, mid-level generalist ML role, and visible AI skills make applicant competition high.
ML engineering skills transfer across industries but supply-chain and healthcare domain exposure favor domain-specific candidates.
Explicit years, required ML/LLM, cloud, MLOps, and Python skills indicate high shortlisting strictness.
Support design, development, and deployment of AI/ML and Generative AI solutions to improve global supply chain functions.
Assist in building scalable, production-ready AI applications for intelligent decision-making, automation, and operational efficiency using cloud platforms (AWS, Azure).
Collaborate with stakeholders and senior technical teams to translate business requirements into reliable AI solutions with measurable impact.
Bachelor’s degree in Computer Science, Software Engineering, AI, or related field.
2 to 4 years professional experience in Machine Learning, AI, Data Science, or AI Engineering (or Master’s with 2 to 3 years experience including internships).
3+ years hands-on Python experience with foundational skills in designing and supporting ML/AI solutions, including experience with cloud platforms like AWS or Azure.
Location: Bangalore (Hybrid) with 40% travel/office commuting required.
Experience or academic projects with Generative AI frameworks (Lang Graph, Lang Chain, Auto Gen, Crew AI) and foundational knowledge of LLMs, prompt engineering, and responsible AI.
Familiarity or eagerness to learn cloud AI deployment/MLOps, containerization (Docker), Kubernetes, and AI monitoring tools (e.g., Azure Monitor, MLflow).
Exposure to enterprise data engineering, data pipelines, and distributed data processing to support AI/ML applications, preferably in supply chain or healthcare domains.