ML / AI Engineer – MLOps & GenAI Platforms
Location:
US / Canada (Remote/Hybrid)
Type:
Contract / Full-Time
Overview:
We are seeking an ML/AI Engineer to contribute to large-scale AI and data transformation programs. This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud environments.
Key Responsibilities:
Design and deploy scalable ML and GenAI solutions
Build and manage end-to-end MLOps pipelines
Collaborate with data engineers, architects, and business teams
Ensure model performance, governance, and lifecycle management
Required Skills:
Strong experience in ML/AI engineering and MLOps practices
Proficiency in Python and frameworks such as PyTorch
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with model deployment and monitoring
Nice to Have / Coverage:
Experience with LangChain and GenAI/agentic AI implementations
Exposure to Databricks, Snowflake, Azure Synapse, or BigQuery
Familiarity with AI governance, Responsible AI, and compliance frameworks
Experience working with cloud-native data platforms and architectures
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