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Full Time Pytorch Jobs (NOW HIRING)

NavitasPartners

Contract / Full-Time Overview: We are seeking a GenAI & Agentic AI Engineer to design and deliver ... Python, PyTorch, LangChain, MLOps * Data Engineering: Databricks, Snowflake, Synapse, BigQuery

Happy Dad

AI SOFTWARE ENGINEER

Anaheim, CA · Remote

... PyTorch, TensorFlow, or similar Comfort working in cloud environments Ability to move fast, make tradeoffs, and own your work Clear communicator who plays well with others Job Type: Full-time, Remote ...

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Full Time Pytorch information

What is the difference between Full Time Pytorch vs Machine Learning Engineer?

AspectFull Time PytorchMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with PytorchBachelor's or higher in CS, Data Science, or related fields; experience with ML frameworks including Pytorch
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learning projectsTech companies, startups, or R&D teams working on ML solutions
Employer & Industry UsagePrimarily in AI research, deep learning projects, and model developmentDeveloping, deploying, and maintaining ML models across various industries

While both roles require knowledge of Pytorch, a Full Time Pytorch position typically focuses on implementing and experimenting with deep learning models using Pytorch. A Machine Learning Engineer often has a broader scope, including deploying models, optimizing algorithms, and working across different ML frameworks. The roles overlap in skills but differ in responsibilities and application scope.

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Full Time Pytorch jobs near you

Lead - AI Risk, Governance & Responsible AI - AIRLHV

NavitasPartners

San Antonio, TX • On-site, Remote

$93K - $121K/yr

Full-time

Posted 12 days ago

Job description

Lead – AI Risk, Governance & Responsible AI

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring a Lead for AI Risk & Governance to ensure responsible deployment of AI and GenAI systems across enterprise platforms.

Key Responsibilities:

  • Develop and enforce AI governance policies and standards
  • Manage AI risk, bias detection, and model validation processes
  • Work closely with ML engineers and data teams for compliance integration
  • Ensure enterprise-wide adherence to Responsible AI principles

Required Skills:

  • Proven experience in AI governance, risk management, or compliance
  • Strong understanding of cloud platforms (AWS, Azure, GCP)
  • Hands-on experience with AI/ML lifecycle governance

Nice to Have / Coverage:

  • Data Engineering platforms: Databricks, Snowflake, Synapse, BigQuery
  • ML/AI Engineering: Python, PyTorch, MLOps frameworks
  • GenAI: Experience governing LLMs, LangChain, agent-based AI
  • Experience working with cloud/data platform architects

For more details reach at resumes@navitassols.com.