Develop across our evolving technology stack - weʼre using Python, Java, Kubernetes, Apache Spark, Postgres, Redis, ArgoCD, Argo Workflow, Seldon, MLFlow, and more. We are migrating into AWS cloud and adopting many services that are available in that environment.
You will have the opportunity to learn many cutting-edge technologies around Machine Learning Platform. You will push the boundaries, to test, develop and implement new ideas, technology and opportunities, and be well rewarded and recognized for doing so.
Take responsibility for all aspects of software engineering, from design to implementation, QA, maintenance, and support.
Touch code at every level – from the UI, backend microservices, database, big data processing, and operations, to CD/CI automation.
Collaborate closely with data science teams to define requirements, discuss solutions, and develop high quality deliverables for our customers.
Take ownership for the quality of the code.
4. REQUIRED SKILLS & EXPERIENCE:
Computer Science degree or equivalent experience
At least 5 yearsʼ experience of commercial software development with exposure to ML practices.
Willingness and ability to take on new projects and technologies.
Ability to break down complex problems into simple solutions.
Strong analytical skills and desire to write clean, correct and efficient code.
Sense of ownership, urgency and pride in your work.
