Machine Learning Engineer
Job Description
KCF Technologies is on a mission to transform American Industry, solving problems that no one else will within the IIoT world. Our team develops technology and services that empower industrial businesses to improve performance and safety, reduce downtime, and optimize operations. Our wireless sensors and SMARTdiagnostics software offer real-time, continuous monitoring to give machines a voice, and our services team partners with customers to elevate workers. Employing smarts, grit, drive, autonomy, and responsibility at every step, we are committed to continuous innovation to bring the latest technologies to life to make the things we work and live with smarter! Learn more at www.kcftech.com
At KCF Technologies, we value autonomy, working smart, and doing things a little bit differently. Curious about what working at KCF is really like? Explore Life at KCF here! If you’re an A-player who wants to be part of one of the most important companies revitalizing machine health across the world, KCF is the place for you. If our values resonate with you, please keep reading!
Core Values:
Smarts: We are humbly aggressive lifelong learners.
Grit: We are scrappy, proactive problem solvers who don’t stop until the job is done.
Drive: We demonstrate an insatiable hunger to serve others.
Responsibility: We do the right thing and contribute to the greater good.
Autonomy: We own our work and define how we do it, while aligned with the greater mission.
Where You Come In:
We are currently seeking a Machine Learning Engineer to join our growing team! As a Machine Learning Engineer on the Analytics Team, you'll have the opportunity to work on a collaborative team of engineers in one of the most exciting fields in technology! This role can be 100% remote-based. With our Work From Home, Work From Anywhere model, KCF employees are spread across 27 different U.S states. We advocate for owning your work - you define how you do it and where you do it.
This is starting to sound like your next challenge, right? Read on for more info!
Essential Functions:
- Design, build, evaluate, ship, and refine KCF’s product by hands-on ML development
- Solve complex classification problems by developing and validating ML models
- Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models
- Collaborate with a cross functional agile team spanning, software development, product management, devops and engineering to build new product features that advance our mission to create products that elevate industry globally
- Advanced proficiency in Python and supporting numeric libraries including NumPy and Pandas
- Experience in machine learning frameworks & toolkits such as Tensorflow, Pytorch, Sklearn
- Strong experience building applied machine learning products, including taking a product through design, implementation, and production
- Experience in delivering products with large-scale and productizing machine learning algorithms
- Strong coding standards with focus on writing high quality production grade code
- Experience with building real-time inference systems
- Other duties as assigned by the supervisor and other KCF leadership staff
Qualifications:
- MSc or PhD in Statistics, Machine Learning, Computer Science, or equivalent with 5+ years of Applied ML experience
- Demonstrated knowledge and ability working with AWS, Google Cloud, or other cloud-based solutions to train models, set up data pipelines, and set up inference engines
- Experience with microservices and deployment of ML models
- Experience working with AWS tools like AWS Sagemaker is a plus
- Understanding/Knowledge of the following concepts: feature stores, data lineage, A/B testing, model scoring/feedback
- Familiarity with concurrent programming such as threads and asynchronous I/O
Perks & Benefits:
At KCF, we are committed to providing best-in-class benefits, engaging development opportunities, and powerful perks that are focused on bringing out the best in you.
Full-time benefits are as follows:
- 100% company-paid Medical, Dental, and Vision premiums
- Health Savings Account with generous employer contributions
- Hybrid work model for most positions, “work from home, work from anywhere”
- Competitive compensation & bonus opportunities
- Four weeks PTO; Paid Holidays + "Flex" Holiday
- 401(K) with company match
- Wellness Perk- including annual reimbursement program
- Monthly cell and office expense stipend
- Learning Culture committed to growth and continuous development
At KCF Technologies, we are an Equal Opportunity Employer. The only things we require for employment, compensation, advancement and benefits are performance and a good team attitude. No one will be denied opportunities or benefits, and no employment decisions will be made, on the basis of race, religion/creed, national origin, ancestry, sex, sexual orientation, gender, gender identity, age, disability that does not prohibit performance of essential job functions, protected veteran status, medical condition, marital status, pregnancy, genetic information, possession of a general education development certificate (“GED”) as compared to a high school diploma, or any other characteristic protected by applicable federal or state laws. KCF complies with applicable state and local laws governing nondiscrimination in employment in every location in which KCF has facilities.
Date Posted
10/26/2022
Views
6
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