What are the responsibilities and job description for the Senior AI / ML Engineer – Enterprise Data & GenAI Solutions - AIRLHV position at NavitasPartners?
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.