AI Summary
Design and implement ML Ops and LLM Ops in production environments. Develop and maintain scalable ML pipelines using Python and ML frameworks. Collaborate with cross-functional teams to ensure smooth ML lifecycle management.
Key Highlights
Design and implement ML Ops and LLM Ops in production environments
Develop and maintain scalable ML pipelines using Python and ML frameworks
Collaborate with cross-functional teams to ensure smooth ML lifecycle management
Technical Skills Required
Benefits & Perks
100% remote work
12+ months contract or full-time employment
Job Description
Job Title: ML OPS Architect
Location : 100% Remote Role USA
Duration : 12+ Months Contract OR Fulltime
Teams Meeting Interview
Job Description:
ML OPS Architect
Required Skills & Experience
- Proven experience in ML Ops and/or LLM Ops in production environments.
- Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of ML lifecycle management, data engineering, and DevOps practices.
- Hands-on experience with LangChain, OpenAI API, or similar LLM ecosystems.
- Proficiency in containerization and orchestration (Docker, Kubernetes).
- Familiarity with cloud environments (AWS, Azure, GCP).
- Excellent communication skills with the ability to collaborate with both technical and non-technical stakeholders.