What are the responsibilities and job description for the Machine Learning Engineer position at Kforce Inc?
Responsibilities
Kforce has a client sekeing a remote Machine Learning Engineer to join their team in Atlanta, GA. Summary: 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. In a typical day, they 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 on accelerating their machine learning projects/applications. This team will analyze how users adopt ML and identify the needs, and work with other teams to strategically plan out how to make machine learning experience better. 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. The 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 GCP. They will also be building their own models for other teams to then use.
Requirements
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.
Kforce has a client sekeing a remote Machine Learning Engineer to join their team in Atlanta, GA. Summary: 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. In a typical day, they 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 on accelerating their machine learning projects/applications. This team will analyze how users adopt ML and identify the needs, and work with other teams to strategically plan out how to make machine learning experience better. 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. The 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 GCP. They will also be building their own models for other teams to then use.
Requirements
- Computer Science degree/Master's degree in ML/AI or equivalent experience
- 1-6 years of ML and Data Engineering Experience
- Proficiency in Python, Pytorch, Tensorflow and GCP
- Experience with VertexAI
- Strong in SQL
- Understands data science from hypothesis to production
- Overall strong software engineering background
- Strong communication and culture fit (outgoing, team player, extremely collaborative)
- Proficient in python/pytorch (and other libraries) tensorflow, Cloud (GCP a plus), along with several other languages and technologies
- Experience building at least 2 models on their own from scratch
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.
Salary : $35 - $45