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ML / AI Engineer – MLOps & GenAI Platforms

NavitasPartners

Houston · flexible Contract Today

About the role

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.

Skills

AWSAzureGCPGenAILangChainMLOpsPythonPyTorch

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