Job Description:

RESPONSIBILITIES:

Senior Machine Learning Engineer in Houston, TX for a hybrid and contract to hire/fulltime role.

Summary:
As a Senior machine learning engineer at Kforce's client, you will be developing and implementing machine learning models and using advanced statistical techniques to solve complex problems.

Responsibilities:

• Design machine learning systems and models and implement algorithms


• Analyze large, complex datasets to extract insights and decide on the appropriate techniques and algorithms suitable for the task


• Run machine learning tests and experiments


• Design robust machine learning systems that can handle a combination of data types (text, tables, images, etc.)


• Leverage state-of-art generative AI toolsets (RAG, prompts, etc.) to solve complex natural language problems


• Build data and model pipelines for transparency and governance


• Collaborate with cross-functional teams to understand their needs and devise possible solutions


• Lead the design and implementation of AI solutions, leveraging Microsoft's AI services


• Participate in fast-paced proof-of-concepts to refine solution design


• Stay up to date with the latest advancements in AI and ML technologies

REQUIREMENTS:

• Bachelor's degree in computer science, Mathematics, Engineering, Data Science or related field; Master's or PhD preferred


• Proven experience as a Machine Learning Engineer or similar role


• Deep knowledge of math, probability, statistics, and algorithms


• Ability to write robust code in Python, C#, or another language


• Expertise with deep learning frameworks for natural language processing


• Experience with language foundation models and techniques to customize foundation models to specific use cases


• Familiarity with CI/CD in model lifecycle management


• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)


• Understanding of data structures, data modeling, and software architecture


• Excellent communication skills


• Ability to work in a team


• Outstanding analytical and problem-solving skills

Desirable Experience:

• Experience designing, building, and maintaining solutions in commercial cloud platforms like Microsoft Azure


• Excellent knowledge of CI/CD concepts and tools such as Azure DevOps/GitLab


• Experience with data engineering and data science workflows


• Passion for continuous learning and staying at the forefront of AI advancements

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless
and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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