Numerator is a data and tech company bringing speed and scale to market researchHeadquartered in chicago, il, numerator has more than 2,000 employees worldwideThe company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to changeThe majority of fortune 100 companies are numerator clients.
Numerator is looking for cloud engineer - machine learning to join our growing research and development teamThis is a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that handles millions of requests and massive amounts of events, and other dataIn this position, you will be responsible for taking on new initiatives to design, build, and deploy high performance deep learning systems in a rapidly-scaling environment.
As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software productsThis is a high growth and impact role that will give you tons of opportunities to drive decisions for projects from inception through production.
What you will get to do
Provide deep expertise to help steer scalability and stability improvements early in the life-cycle of machine learning development while working with the rest of the team to automate existing processes that deploy, test, and lead our production environments. Orchestrate systems using kubernetes. Set up ci/cd pipelines of multiple applications. Lead the conversation on architecting solutions to machine learning specific needs relating to deployment, systems architecture, and other tools and automation that ensure the reliability of machine learning products and simplify deep learning engineer workflows. Lead by example and evangelize devops best practices within other data science and engineering teams at numerator. Work with deep learning engineers and devops teams to troubleshoot server/infrastructure/systems-level issues.mentor and enable ml engineers to perform basic devops functions. Have the freedom to suggest and drive organization-wide initiatives while being part of providing the technical vision and strategy at numerator.
Skills & requirements
What you bring
3+ years of experience deploying robust apis in production environments (ideally cloud-based environments such as aws or gcp). Proficiency in deploying and troubleshooting containers (docker) and container orchestration systems (kubernetes). Experience with at least one programming language popular in the ml ecosystem (preferably python). An understanding of the importance of ci/cd pipelines and how to set them up.have experience and/or a strong interest in building and deploying machine learning applications. Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and interest in learning more.
Nice to haves
You have working experience with classical machine learning and deep learning models, and libraries like scikit-learn, pytorch, tensorflow. Experience working with an mpp data warehouse (redshift, snowflake). Experience deploying and managing kubernetes clusters on eksexperience with monitoring, tracking, and metrics visualization (e.gPrometheus, sentry, fluentd, grafana, opentracing,/jaeger, etc). Experience in the marketing analytics field. Experience with (or interest in learning) gpu/multi-gpu (scaling, monitoring gpu metrics, hardware-specific gpu optimization) for development and production deep learning.
What we offer
More data than you could imagine to play with! Data that matters and that is shaping the impact of billion dollar brands. Brillant, motivated and passionate colleagues with whom to spend your time. An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come. Market competitive total compensation package. Volunteer time off and charitable donation matching. Regular hackathons to build your own projects and work with people across the entire company Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups. Great benefits package including health/vision/dental, exceptional maternity leave coverage, unlimited pto, flexible schedule, 401k/rrsps matching and much more.
If this sounds like something you would like to be part of, we’d love for you to apply! don't worry if you think that you don't meet all the qualifications hereThe tools, technology, and methodologies we use are constantly changing and we value talent and interest over specific experience.
While this position can be remote, numerator is only able to hire in many, but not all, states and provincesIn certain cases, if you are not located in a specific area where numerator is able to hire, you may not be eligible for employment. We are an equal opportunity employerAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by the law.
Cloud Engineer - Machine Learning
Applying through jobeka.lk CV will be a benefit for you to prioritize your CV