R00349886 - AI/ML Computational Science CL10/9- Remote US

ManpowerGroup WorkMyWay•Remote Based In US, WI
•Remote

About The Position

This role involves formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. The successful candidate will develop and implement machine learning algorithms, models, and computational systems, and design and build scalable data pipelines to support model training and production with DevOps & MLOps. They will customize and apply Deep Learning and Gen AI models for various use cases, including edge device and HPC, and engage in research and development of new AI and high-performance compute algorithms, models, and simulations. The role requires working with large-scale datasets, implementing efficient data storage and retrieval mechanisms, and justifying the value of model approaches in business problems. Collaboration with business and technical teams is essential to achieve end-to-end project goals and integrate solutions into production.

Requirements

  • Bachelor's Degree or equivalent
  • Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
  • Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
  • Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
  • Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment.

Nice To Haves

  • Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
  • Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
  • Experience with the following programming languages: Python, C++, Java, R, SQL
  • Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
  • Strong client-facing skillsets in a consulting environment
  • Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
  • Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
  • MS or PhD in related field preferred (computer science, engineering, etc.)

Responsibilities

  • Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
  • Develop and implement machine learning algorithms, models, and computational systems
  • Design and build scalable data pipelines to support model training and production with DevOps & MLOps
  • Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
  • Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
  • Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
  • Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
  • Justify the value of model approaches in business problems
  • Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production
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