Machine Learning Engineer

Responsibilities Kforce has a client seeking a remote Machine Learning Engineer to join their team. Summary: This team is strictly focused on building and scaling ML models using data, to better understand how they can effectively attach trends/ultimately be proactive with sales. The Machine Learning Engineer will be primarily working on machine learning enablement, which in a typical day, will pair with another engineer and interact with customers - including business users who can vary from business analysts to data scientists, as well as potentially other software engineering teams within the company. The goal is to help them accelerating on their machine learning projects/applications. This person will need to be proficient in python/pytorch, tensorflow, Cloud, along with several other languages and technologies and 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. 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. Responsibilities: • 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 technologies • Building their own models for other teams to then use Requirements • Computer Science degree/Masters in ML/AI or equivalent experience • 2+ years of ML/Data Science experience • Proficiency in Python, Pytorch, Tensorflow and GCP • 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. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.