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ML Engineering Consultant
4 months ago
Machine Learning Engineer – Inspire11
Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what's possible.
We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.
We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We've created a work environment in which you can expect:
Individualized Professional Growth: You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and 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 and we do our best to work with their schedules while accommodating client needs Vibrant company culture: We love to keep things light-hearted, both within our client work and at companywide eventsWhat 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
