Senior AI / ML Engineer Enterprise Data & GenAI Solutions
Location:US / Canada (Remote/Hybrid)
Type:Contract / Full-Time
Overview:
We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering ML engineering and cloud architecture to deliver scalable AI systems.
Key Responsibilities:
- Build and scale ML pipelines and GenAI applications
- Integrate AI solutions with enterprise data platforms
- ImplementMLOpsframeworks for automation and governance
- Optimizemodels and pipelines for performance and cost efficiency
Required Skills:
- Strong experience in ML engineeringMLOps and AI system design
- Expertisein PythonPyTorch and related ML frameworks
- Experience with cloud platforms (AWS Azure GCP)
- Strong understanding of data pipelines and integration
Nice to Have / Coverage:
- Experience with data platforms such as Databricks Snowflake Azure SynapseBigQuery
- Exposure to GenAI tools (LangChain LLM orchestration frameworks)
- Knowledge of Responsible AI governance and compliance
- Experience in enterprise-scale AI deployments
For more details reach at
Required Experience:
Senior IC
Senior AI / ML Engineer Enterprise Data & GenAI SolutionsLocation:US / Canada (Remote/Hybrid)Type:Contract / Full-TimeOverview:We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering ML engineering and cloud architectu...
Senior AI / ML Engineer Enterprise Data & GenAI Solutions
Location:US / Canada (Remote/Hybrid)
Type:Contract / Full-Time
Overview:
We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering ML engineering and cloud architecture to deliver scalable AI systems.
Key Responsibilities:
- Build and scale ML pipelines and GenAI applications
- Integrate AI solutions with enterprise data platforms
- ImplementMLOpsframeworks for automation and governance
- Optimizemodels and pipelines for performance and cost efficiency
Required Skills:
- Strong experience in ML engineeringMLOps and AI system design
- Expertisein PythonPyTorch and related ML frameworks
- Experience with cloud platforms (AWS Azure GCP)
- Strong understanding of data pipelines and integration
Nice to Have / Coverage:
- Experience with data platforms such as Databricks Snowflake Azure SynapseBigQuery
- Exposure to GenAI tools (LangChain LLM orchestration frameworks)
- Knowledge of Responsible AI governance and compliance
- Experience in enterprise-scale AI deployments
For more details reach at
Required Experience:
Senior IC
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