Machine Learning Operations (MLOps) Engineer II

Role Title: MLOps Engineer II

The Company: 

At impact.com our culture is our soul. We are passionate about our people, our technology, and obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L'Oréal, Fanatics and Levi’s, visit www.impact.com. 

Why this role is exciting! 

• Own production pipeline for all DS jobs
• Work closely with data science on new pipelines
• Create monitoring solutions around all aspects of pipeline
• Scale solutions around data volumes, budget, SLAs, infrastructure
• CI/CD pipeline ownership
• Help Architect necessary data handoffs to other squads
• Develop and mentor best practices within Impact
• Interface with external systems to extract data
• Operate independently, research new technologies, champion solutions
• Collaborate cross squad to develop various data handoffs

What you will be doing:

• Strong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain, with proven experience of Terraform/Spark
• Continuous Learner
• Cloud / GCP experience
• Big Data experience
• Highly organized, proven ability to work on multiple projects at once
• Problem Solving

Does this sound like you?  

• Masters in Computer Science, Data Science preferred
• Minimum of 2 years experience in developing and deploying machine learning models in a production environment.
• 2+ years of experience in MLOps and Data engineering
• Experience in Databricks preferred
• Experience in all DS libraries 
• Google Cloud environment  certifications a plus
• Collaboration with squads, leadership role
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
• Familiarity with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git

Benefits (Perks):

• Medical, Dental and Vision insurance
• Unlimited PTO
• Flexible work hours
• Maternity/Paternity leave
• Free Affiliate & Partnerships Industry Fundamentals Certification by PXA
• Catered lunch every Thursdays, a healthy snack bar, and great coffee to keep you fueled
• Flexible spending accounts and 401(k)
• An employee-led culture team that plans our happy hours, parties, and other events to celebrate our many successes
• An established company with a cool, high-velocity work ethos, where each person can make a difference!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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