96 applicantsPosted by Agency

Company

Original Job Post

Kforce Inc · 2 days ago

Senior ML Engineer

Milwaukee, WI

Full-time

Onsite

Senior Level

5+ years exp

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Responsibilities

Senior ML Engineer will define standards for platform architecture, MLops, data quality, and governance

Build advanced ML models (behavior segmentation, churn prediction, purchase propensity, r-causal inference, etc.)

Transform data into actionable insights that drive growth and innovation

Implement and fine-tune ML algorithms (supervised, unsupervised, deep learning)

Contribute to data engineering, modeling, and dashboard development

Manage the software development lifecycle (SDLC) for ML models

Establish continuous integration and continuous delivery (CI/CD) pipelines for model updates

Build retrieval-augmented generation (RAG) architecture based large language models (LLM) applications

As a Senior ML Engineer, you will monitor and maintain the health of solutions generated

Provide task breakdowns, identify dependencies, and provide effort estimates

Evaluate the latest technology trends that align with Company opportunities

Develop proof-of-concept prototypes

Develop positive relationships with clients, stakeholders, and internal teams

Understand business goals, drivers, context, and processes to suggest technology solutions that provide innovation for the organization

Work collaboratively on creative solutions with Engineers, Product Managers and Analysts in an agile work environment

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData QualityData ModelingMachine LearningData ScienceMLOpsStatistical ModelsPredictive ModelsClassification ModelsClustering ModelsSoftware DevelopmentRequirements GatheringConstructionTestingSoftware Development MethodologiesSDLCAgileScrumLLM ApplicationsRAG ArchitectureLangChainLlama IndexPythonSQLData Manipulation LibrariesPandasNumPy/B TestingRESTful APIsData Science Trends

Required

Five years or more of work experience in data engineering, data quality, or data modeling

Three years or more of work experience in machine learning, data science, MLOps or related roles (statistical, predictive, classification, clustering models)

Experience working with all core software development activities, including requirements gathering, design, construction, and testing

Experience with formal software development methodologies, including SDLC, Agile or Scrum

Experience building LLM applications using RAG architecture, LangChain, and Llama Index

Knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy)

Knowledge of engineering and A/B testing

Knowledge and understanding of RESTful APIs

Knowledge of current data science trends, best practices, and standards

Benefits

Medical/dental/vision insurance

HSA

FSA

401(k)

Life insurance

Disability insurance

ADD insurance

Paid time off

Company

Kforce Inc

Glassdoor

3.8

Kforce is a solutions firm specializing in technology and other professional staffing services.

Founded in 1962

Tampa, Florida, USA

1,001-5,000 employees

http://www.kforce.com

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