ML Engineering Consultant
Chicago, IL, United States
Machine Learning Engineer – Inspire11
Elevens, as we call ourselves here, arepassionatelycurious,highlycollaborative, andunabashedly authentic. At Inspire11, we believe everyone drives change, everyonetakes ownership of their career, and no idea is too odd to embrace.Our team learnsfrom each otherbypushing the boundaries of what’s possible.
We partner with our clients todefine their strategies to optimize their business in all things dataand digital. Whether that be modern data architecture,custom application development,ordesign thinking, and this is just scratching the surface. We are a team of puzzlesolverswho take the various pieces that the client already has and assemblethemin a way thatrevealsthe bigger picture.
We believe that the most impactful and innovative work includes and fosters a range ofdiverse perspectives . We’ve created aworkenvironment in which you can expect:
Individualized Professional Growth: You will have the opportunity to engage in growing the team and there are ample opportunities todefine your pathand develop your skillset
Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs andwedo our best to work with their schedules while accommodating client needs
Vibrantcompanyculture: We love to keep things light-hearted, both within our client work and at companywide events
What You’ll be Accountable For:
Designing scalable machine learning infrastructure including, implementing CI/CD pipelines for model deployment.
Monitoring models in production.
Developing Generative AI solutions.
Ensuring security and compliance.
Preprocessing and analyzing datasets.
Developing and fine-tuning ML models to optimize for performance.
Communicating results to stakeholders.
Expectations in this Role:
Exhibit strong software engineering principles.
Utilize proficiency in cloud architecture (AWS, Azure, GCP).
Familiarity with CI/CD and DevOps.
Expertise in data preprocessing and ML techniques.
Experience with model evaluation and libraries like TensorFlow, PyTorch.
Tools for Success:
Proven experience in ML engineering.
Strong programming skills (Python, R).
Cloud services and infrastructure knowledge.
Agile methodologies understanding.
This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships.
Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa.
EEOC
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status
#J-18808-Ljbffr