Easter Seals Jobs

Machine Learning Engineer II

Job Description:

INNOVATE WITHOUT BOUNDARIES!

At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our Advanced Engineering & Technology team.

Who we are :

Our Team’s Technology Obsession

The Advanced Engineering and Technology (AET) team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology.

Your Role on our Team

The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Robotics, Cloud Architecture, Mechanical Engineering, Materials Science, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.

Core Responsibilities

• Research and introduce emergent technologies into the business which empower future product development,

• Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.

• Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.

• Stay ahead of industry trends related to AI, ML, and Cloud technologies – while rapidly evaluating their fit.

• De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.

• Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.

• Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.

Qualifications

• Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.

• Effective at evaluating technology feasibility and moving through development process.

• Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.

• Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.

• Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.

• Can developed in Azure cloud, local, or edge environments leveraging associated libraries and tools.

• Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.

• Familiar with different types of data collection methods or hardware in an engineering lab setting.

• Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.

Requirements

• Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.

• 2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.

• Excellent technical communication skills and fundamental project management abilities.

• Periodic travel may be required, up to 10%.

• Hands on experience.

Working Conditions:

• In-Person, Office Environment, R&D Engineering Lab.

We provide these great perks and benefits:

• Robust health, dental and vision insurance plans.

• Generous 401 (K) savings plan.

• Education assistance.

• On-site wellness, fitness center, food, and coffee service.

• And many more, check out our benefits site HERE (https://www.milwaukeetool.jobs/Benefits) .

Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled

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