ML / AI Engineer – MLOps & GenAI Platforms - AIRLHV
NavitasPartners · Remote · San Antonio
Job description
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
For more details reach at resumes@navitassols.com.
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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