| Principal ML Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Hamid Raza, Sonitalentcorp [email protected] Reply to: [email protected] Position: Principal AI/ML Engineer Location: Remote Duration: Contract Visa: USC, GC only Note: Need 5 Digit SSN with LinkedIn also while submitting candidate please ask the candidate to get their visa copy in hand Description: Develop and execute the vision for engineering platforms, and reusable code that will be used by thousands of other engineers for automation and improved efficiency of AI/ML development Stay up to date with latest technologies and literature recommending solutions to improve business goals Evangelize the benefits of the AI models and platforms built in our team to drive adoption for employees and functional roles across the UHG enterprise including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more Mentor data scientists, AI/ML scientists, and other engineers to ensure the delivery of the AI/ML projects, and provide guidance on how to best use specific tools or technologies to achieve the desired results Collaborate with cross-functional teams to determine applicability of AI to business problems Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards Create and manage best practices for ML models integration, orchestration, and deployment, that will ensure secure, consistent, and efficient use of resources across the UHG enterprise, including data versioning, ingress and model output egress, CI/CD pipelines for MLOps and DevOps functions Automate the provisioning and configuration of infrastructure resources Create documentation for infrastructure design and deployment procedures Skills: Bachelors degree in computer science, Math, Statistics, or a related STEM field with equivalent experience (Either 10+ years of experience in a technical engineering role, or a PhD in Computer Science or a related field and 5+ years engineering role) 3+ years of experience focused on AI/ML solutions delivery Demonstrated experience leading and implementing AI/ML projects from ideation to delivery, evaluation, and maintenance in production Proven experience in Python and one of PySpark or Scala, including demonstrable proficiency of AI/ML frameworks and tools (e.g., MLFlow, TensorFLow, PyTorch) Experience developing and deploying data pipelines, machine learning models, or applications on cloud platforms (e.g., Azure, AWS, Databricks, AzureML) Demonstrated experience in Gen AI solution pipeline engineering, (e.g., RAG) and Large Language Modeling and Transformer Architectures (e.g., BERT, GPT, etc.) Proven presentation experience with the ability to explain complex AI/ML concept and results to technical and non-technical audiences Keywords: continuous integration continuous deployment artificial intelligence machine learning green card Principal ML Engineer [email protected] |
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| Sat Sep 21 03:06:00 UTC 2024 |