Senior ML Engineer

Kforce Inc; Fort Lauderdale (FL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

HSA

FSA

401(k)

Life Insurance

Disability Insurance

Paid Time Off

Job summary

Kforce Inc. is seeking a Senior Machine Learning Engineer in Fort Lauderdale, FL to design, train, and deploy scalable ML models that power customer intelligence, personalization, and AI capabilities.

You will partner with Data Engineering, Data Science, and MLOps teams to deliver production-ready models that drive business outcomes. The role requires 7+ years in ML/AI, strong Python skills, and experience with Databricks, MLflow, TensorFlow or PyTorch.

Qualifications

• 7+ years in Machine Learning Engineering, Applied AI, or Data Science.
• Production-scale ML solution delivery experience.
• Strong Python development skills.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.

Responsibilities

• Design, train, evaluate, and deploy ML models in production.
• Develop recommendation, personalization, and predictive analytics solutions.
• Build scalable real-time inference and prediction services.
• Collaborate with Data Engineering to create ML-ready data and features.
• Work with MLOps to monitor and maintain models and pipelines.
• Improve model performance, reliability, and scalability.

Skills

Python

Databricks

MLflow

TensorFlow

PyTorch

Scikit-learn

Recommendation systems

Feature engineering

MLOps

Real-time inference

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field

Tools

Databricks

MLflow

TensorFlow

PyTorch

Job description

Responsibilities

Kforce has a client seeking a Senior Machine Learning Engineer in Fort Lauderdale, FL to design, develop, and deploy scalable machine learning solutions that power customer intelligence, personalization, recommendation engines, and advanced AI capabilities. This role will partner with Data Engineering, Data Science, and MLOps teams to build production-ready models that drive business outcomes and enhance customer experiences. Responsibilities:

• Design, train, evaluate, and deploy machine learning models in production environments
• Develop recommendation engines, personalization solutions, customer segmentation models, churn prediction models, and predictive analytics capabilities
• Build scalable real-time inference and prediction services
• Partner with Data Engineering teams to develop ML-ready datasets and feature pipelines
• Collaborate with MLOps teams to operationalize, monitor, and maintain machine learning models
• Improve model performance, reliability, and scalability through continuous optimization
• Support Generative AI, LLM, and intelligent automation initiatives
• Provide technical guidance and promote machine learning best practices across the organization

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field; Equivalent experience considered
• 7+ years of Machine Learning Engineering, Applied AI, or Data Science experience
• Experience delivering production-scale machine learning solutions
• Strong Python development skills
• Expertise with Databricks and MLflow
• Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks
• Experience building recommendation systems, personalization engines, and predictive analytics solutions
• Strong understanding of feature engineering, model lifecycle management, and MLOps concepts
• Experience developing real-time inference architectures
• Ability to work cross-functionally with engineering, analytics, and business teams

Preferred

• Customer 360 or customer intelligence platform experience
• Identity Graph experience
• Snowflake experience
• Experience with Generative AI, LLMs, and Agentic AI solutions
• Hospitality, gaming, retail, loyalty, or consumer-facing digital experience
• Experience supporting enterprise AI transformation initiatives

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.