Back
Tier-1 employer, metro location and mid-level GenAI/ML role attracts many qualified applicants.
Core GenAI and ML engineering skills are broadly transferable across industries.
Explicit 4+ years requirement plus mandatory ML/GenAI frameworks and platform experience creates strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy Generative AI solutions leveraging large language models for enterprise use cases like text generation, summarization, RAG, and intelligent assistants.
Design and implement Agentic AI systems with multi-agent frameworks to automate workflows and decision-making.
Build, maintain, and deploy machine learning models and AI pipelines covering data ingestion through model inference and serving.
Bachelor’s Degree in Computer Science, Mathematics, or related field.
4+ years of progressively responsible experience in an IT technical role.
Proficient with ML libraries/frameworks: Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras.
Experience with Generative AI & Agentic Frameworks (e.g., LangChain, LangGraph, Pydantic AI) and familiarity with LLM platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experienced in building scalable AI/ML applications for enterprise production environments.
Comfortable working with modern AI orchestration frameworks and multi-agent systems.
Able to manage end-to-end AI solution lifecycle including code versioning, CI/CD, and collaboration under Agile methodologies.