Machine Learning Enginer

RESPONSIBILITIES:
Kforce has a client that is seeking a fully remote Machine Learning Engineer to join their team.

Overview:
This team is strictly focused on building and scaling ML models using data to better understand how they can effectively attach trends and ultimately be proactive with sales. This person will be primarily working on machine learning enablement. The goal is to help them accelerate on their machine learning projects/applications. Machine Learning Engineer will be assisting other teams for MLOps projects to deliver an end-to-end production ready ML model pipeline for deep learning and non-representation-based ml model using Vertex AI, MLFLOW, TensorFlow, Pytorch, Sci-kit learn TensorFlow Serving, Torch Serving, mlflowServing, Docker, Kubernetes and Google Cloud Platform. They will also be building their own models for other teams to then use. This person will need to be proficient in python/pytorch (and other libraries) TensorFlow, Cloud (Google Cloud Platform a plus), along with several other languages and technologies. They need to have experience building at least 2+ models on their own from scratch. Overall, this team is very focused on culture which includes willingness to learn new technologies, share knowledge with the team, lend a helping hand when needed, and be a team player.

REQUIREMENTS:
* Computer Science degree/Masters in ML/AI or equivalent experience
* 2+ years of ML/Data Science experience
* Proficiency in Python, Pytorch, TensorFlow and Google Cloud Platform
* Experience with VertexAI
* Strong in SQL
* Understands data science from hypothesis to production
* Strong communication and culture fit (outgoing, team player, extremely collaborative)

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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