Participate in the development of highly scalable platforms for extracting, analyzing, and processing large amounts of contextual data from a plethora of sources, both in real-time and in batch modes.
Working closely with other engineers and scientists, develop solutions to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.
Requirements & Skills:
7+ years of hands-on experience deploying the platforms or software at a production scale
7+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
Expert experience in DevOps or ML Ops
Experience in programming languages (automation of the infrastructure) ie. Python, Java
MLOps: e.g., Kubeflow or Knative or Kserve or Nvidia Triton or ML Flow
MS or PhD in Computer Science or equivalent experience.
Experience working with large-scale distributed systems, preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
Experience dealing with real-world large-scale datasets.
Strong understanding and passion for statistical/mathematical modeling and data analysis.
Working hours: 6-9 AM (PL)/7-10 AM(RO, MD) or 18-20 (PL)/19-21 (RO, MD). Need to overlap with one of these slots. Besides that can work normal hours but standard employment hours- 8hs
