NavitasPartners - 615 emplois
Edmonton, AB
Publié il y a 10 jours
Détails de l'emploi :
Télétravail
Temps plein
Gestion
Lead ML Engineer – Cloud AI, MLOps & Agentic AI
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are looking for a Lead ML Engineer to drive enterprise AI initiatives, focusing on MLOps, GenAI, and next-generation agentic AI systems in cloud environments.
Key Responsibilities:
- Lead design and deployment of ML and GenAI solutions
- Build scalable MLOps pipelines and automation frameworks
- Collaborate with architects and engineering teams to deliver AI solutions
- Ensure governance, compliance, and responsible AI practices
Required Skills:
- Extensive experience in ML/AI engineering and MLOps
- Strong programming skills (Python, PyTorch)
- Experience with cloud platforms (AWS, Azure, GCP)
- Proven experience in deploying scalable AI solutions
Nice to Have / Coverage:
- Experience with agentic AI and GenAI frameworks (LangChain, LLM ecosystems)
- Exposure to data engineering tools (Databricks, Snowflake, BigQuery, Synapse)
- Familiarity with AI governance, compliance, and ethical AI frameworks
- Collaboration with cloud/data platform architects in enterprise environments
For more details reach at [email protected].
Partager un emploi :
Foire aux questions
The role focuses on leading ML/GenAI solutions, building scalable MLOps pipelines, and driving agentic AI systems in cloud environments.
This position is based in Edmonton, AB, with remote/hybrid options available.
The role is listed as Full-time, with contract availability indicated in the overview.
Required skills include extensive ML/AI engineering and MLOps experience, strong programming in Python and PyTorch, and experience deploying scalable AI solutions on cloud platforms (AWS, Azure, GCP).
Nice to have experience with agentic AI and GenAI frameworks (LangChain, LLM ecosystems), data engineering tools (Databricks, Snowflake, BigQuery, Synapse), and familiarity with AI governance and ethical frameworks.
You will lead the design and deployment of ML and GenAI solutions, build scalable MLOps pipelines and automation frameworks, collaborate with architects and engineering teams, and ensure governance and responsible AI practices.
For more details, contact [email protected] to apply.
