What are the responsibilities and job description for the Machine Learning Engineer with MLOps (Only w2) position at Sovereign Technologies?
Job Details
JOB TITLE: Machine Learning Engineer or Data Scientist
LOCATION: Holland, MI local is preferred but could do remote for a candidate with strong communication and willing to travel
DURATION: 12 month contract
TOP 3 SKILLS:
- Must have experience developing machine learning models from scratch
- Strong Communication with internal and external stakeholders
- Experience with MLOps tools such as python, tensorflow, pytorch
FORMAL JOB DESCRIPTION
At Kiss Technologies we re making impactful changes to traditional steelmaking with modern sensing and instrumentation, big data and machine learning. Kiss Technologies process measurement technologies, cloud-based analytics, software services and consumables are empowering billion-dollar companies to redefine American steel.
As part of a family-owned portfolio of companies, Kiss Technologies offers a unique environment for self-starters and creative thinkers. We are on a mission to make impactful contributions to steelmaking, and it starts with building a team of enthusiastic employees. We actively work to create an environment that values a healthy lifestyle and opportunities for personal growth. Team members are supported by a close relationship with leadership of the company and an amazing set of benefits.
As a Software Engineer you will lead the coordination of the programming team along with the electrical and mechanical engineers to update and expand the functionality of our technical products that help our customers take the guesswork out of casting.
Delivering Kiss Technologies insightful solutions requires engineers and technicians who are multi-disciplined and inquisitive. Our most successful team members have an eye for opportunity and love to make a difference. If this describes you, we encourage you to apply!
Main Responsibilities:
Developing, deploying, and maintaining machine learning (ML) and artificial intelligence (AI) models to enhance data-driven insights and automation processes
Collaborating with cross-functional teams to integrate machine learning algorithms and AI functionalities into applications
Implementing MLOps practices to streamline the ML lifecycle, from data preparation to deployment and monitoring in production
Requirements:
Proficiency in machine learning and AI libraries, particularly TensorFlow and PyTorch
Experience with MLOps tools and practices for model deployment and lifecycle management
Proficiency with Python for data analysis, model development, and statistical analysis
Strong mathematical skills in linear algebra, probability, and statistics as applied to machine learning
Bachelor s degree in Engineering, Computer Science, or another STEM discipline
Work experience in a similar role, with at least 3 year focused on machine learning / AI
Experience in manufacturing or industrial industries is a plus
Demonstrated ability to develop, deploy, and maintain ML and AI models in production environments
Highly motivated individual with a desire to help drive vision and strategy
Agile, forward-thinking, and adaptable to changing technologies
Excellent facilitation, analytical, and organizational skills
