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Senior AI / ML Engineer Enterprise Data & GenAI Solutions - AIRLHV

Job

NavitasPartners

Remote

Full-Time

Posted 4 weeks ago (Updated 1 day ago) • Actively hiring

Expires 6/28/2026

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Job Description

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 Implement MLOps frameworks for automation and governance Optimize models and pipelines for performance and cost efficiency
Required Skills:
Strong experience in ML engineering, MLOps, and AI system design Expertise in Python, PyTorch, 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 Synapse, BigQuery 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 resumes@navitassols.com. Senior AI / ML Engineer•Enterprise Data & GenAI Solutions•AIRLHV Erie, PA Hybrid work Full-time Full-time 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 Implement MLOps frameworks for automation and governance Optimize models and pipelines for performance and cost efficiency
Required Skills:
Strong experience in ML engineering, MLOps, and AI system design Expertise in Python, PyTorch, 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 Synapse, BigQuery 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 resumes@navitassols.com.