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IBM Senior Machine Learning Engineer in OMAHA, Nebraska

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your role and responsibilities

A senior machine learning engineer typically designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets to train and validate models, ensuring they perform accurately and efficiently. This role will require an active Top Secret TS/SCI clearance.

Their responsibilities often include:

• Provide technology support required to promote and execute the adoption of data and AI technology, methodologies, and best practices; support command data and AI initiatives; and facilitate implementation of data and AI capabilities in the Command Lab Environment

• Work as part of team to develop advanced data science algorithms like predictive analysis, ML algorithms, AI and other data science methods to build and apply warfighter analytic solution sets

• Assist in the design of machine learning systems by researching and implementing appropriate ML algorithms and tools

• Develop requirements-based ML applications to advance capabilities

• Run machine learning tests and experiments

• Perform statistical analysis and fine-tuning using test results.

Required technical and professional expertise

  • Machine Learning Operations

  • Agile Methodologies

  • Statistics

  • Predictive Analytics

  • Modeling

  • GCLD,GSEC, or CSSLP certifications

  • Top Secret Clearance required with SCI Eligible

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