Lead / Staff MLOps Engineer at Kforce Inc in Atlanta, Georgia

Job Description:

RESPONSIBILITIES:

Kforce has a client in Atlanta, GA that is seeking a Lead/Staff Machine Learning Ops Engineer to join their growing team within the .COM (retail media) focused on product recommendations, AI/ML models, and building scalable MLOps infrastructure. The Engineer will be collaborating with teams to productionalize machine learning models, lead experimentation initiatives, and guide the technical direction of AI projects across marketing and retail media.

Responsibilities:

• Lead the development and scaling of machine learning models, particularly focused on product recommendations and ad-serving capabilities


• Spearhead MLOps initiatives and ensure seamless integration, deployment, and monitoring of ML models in production environments


• Guide experimentation efforts with various models and configurations, delivering results to cross-functional teams for further deployment


• Collaborate with product and engineering teams to break complex problems into manageable tasks and deliver innovative AI-driven solutions


• Customize AI models to enhance customer-facing product recommendations and retail media strategies


• Manage migration from third-party ad servers to in-house solutions, ensuring alignment with business goals


• Hands-on coding and dev in Python, working with TensorFlow, Vertex AI, and GCP for deploying and optimizing ML models


• Present solutions and strategic recomd. to stakeholders, ensuring clear communication and alignment across teams


• Serve as a technical lead and mentor to jr engineers, providing guidance on best practices in AI and MLOps


• Drive solution-oriented approaches to complex problems, ensuring the delivery of high-impact AI features

REQUIREMENTS:

• Proven experience as a Machine Learning Engineer, preferably at a sr or lead level


• Strong expertise in building and productionalizing ML models for product recommendations and similar use cases


• Deep knowledge of MLOps practices and experience leading MLOps initiatives


• Proficiency with Python, TensorFlow, Vertex AI, and Google Cloud Platform (GCP)


• Experience with AI-driven projects, such as chatbots and customer recommendation systems


• Excellent problem-solving skills with the ability to break down complex problems and deliver practical, scalable solutions


• Strong leadership and communication skills, with the ability to present technical solutions to both technical and non-technical stakeholders


• Experience in marketing/retail media or similar industries is a plus

Preferred Skills:

• Experience working with cross-functional teams and handing off solutions to delivery teams


• Familiarity with Agile methodologies and working in fast-paced, dynamic environments


• Understanding of AI/ML experimentation frameworks and tools


• Strong analytical mindset and experience with model customization for enhancing customer experiences

Soft Skills:

• Solution-oriented mindset with a focus on driving results


• Ability to lead, mentor, and motivate a team while delivering high-impact solutions


• Excellent communication and collaboration skills to work effectively across teams

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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