Machine Learning Engineer; Ops

Responsibilities

Kforce has a client in Atlanta, GA that is seeking a Machine Learning Engineer (Ops) to join their team.

Overview:
In a typical day, the Machine Learning Engineer will pair with another Engineer and interact with customers - including business users which vary from business analysts to data scientists, and potentially other software engineering teams within the company. The goal is to help them accelerate their machine learning projects/applications. This team will analyze how users adopt ML and identify the needs and work with the Custom Tools team and ML Innovation team to strategically plan out how to make machine learning experience better.

The candidate 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, Tensor Flow, Pytorch, Sci-kit learn Tensor Flow Serving, Torch Serving, mlflow

Serving, 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) Tensor Flow, 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.

This is a new team and their long-term goal is to continue to build/scale ML apps in the cloud and ultimately support the business and their needs to help drive revenue.

• Computer Science degree;
  Master's in ML/AI or equivalent experience
• 2+ years of ML/Data Science experience
• Proficiency in Python, Pytorch, Tensor Flow 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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