
Senior AI Engineer, Data Scientist
Posted Jul 14

Posted Jul 14
This is a fully remote position, open to applicants in Arizona.
• Technical Consulting: Spearhead comprehensive ML implementations in collaboration with clients, converting business challenges into effective technical solutions.
• MLOps and Pipelines: Design, construct, and uphold production-ready ML pipelines with a keen emphasis on CI/CD, automation, and scalability.
• GenAI and NLP Deployment: Deploy and enhance state-of-the-art Generative AI applications (such as LLMs and RAG) in active production environments.
• Infrastructure and Data Scale: Oversee the foundational infrastructure utilizing Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark.
• Stakeholder Management: Effectively convey technical insights, suggestions, and project updates to both technical and non-technical stakeholders.
• 12+ years of professional experience
• 4+ years of hands-on experience in developing, deploying, and maintaining ML models in a live production setting (Mandatory)
• 3+ years of experience in a customer-facing consulting or Solutions Architect position
• In-depth knowledge of the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment)
• Strong practical experience with containerization (Docker) and data pipeline orchestration
• Documented success in deploying Generative AI and NLP solutions for client applications
• Outstanding verbal and written communication abilities
• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development
Omada Health
BPO Global Services S.A.S
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