DevJobs

MLOps Engineer - Platform

Overview
Skills
  • SQL SQL
  • ML ML
  • NoSQL NoSQL
  • AWS AWS
  • GCP GCP
  • Docker Docker
  • Kubernetes Kubernetes
  • Core Backend Engineering ꞏ 2y
  • Platform Engineering ꞏ 2y
  • MLOps ꞏ 2y
  • Infrastructure Engineering ꞏ 2y
  • Workflow Management Frameworks
  • Data Warehouse Technologies
  • Data Processing Libraries
  • Containerization
  • Cloud Platforms
  • Distributed ML Workflows
  • Distributed Computing Paradigms
  • Parallel Computing Paradigms
We are looking for an experienced, creative and impact-oriented engineer to own the infrastructure and tools we use to develop our Large Language Models.

You will work on cutting-edge technologies and ambitious projects in a fast-paced environment, all aimed at improving the velocity and efficiency of our development processes.

Role and Responsibilities:

  • Own models development life cycle from data ingestion to model training, and ML experiment tracking.
  • Build infrastructure, tools and processes to support velocity and quality at scale.
  • Collaborate with algorithm developers, engineers and DevOps teams to design and execute our ML infrastructure roadmap.
  • Establish and optimize processing solutions to ensure seamless data flow and efficient model training. Set methodologies and best practices.
  • Stay abreast of emerging technologies, tools, and industry best practices in MLOps and DevOps, and integrate them into our ML infrastructure to maintain a cutting-edge position.
  • Serve as a domain expert and mentor within the team, sharing your expertise and fostering a culture of continuous learning and improvement.

Requirements:

  • Minimum of 4 years experience as a Software Engineer.
  • Minimum of 2 years hands-on experience as an MLOps/Platform Engineer/Infrastructure or Core Backend Engineer.
  • Demonstrated expertise in data processing libraries, workflow management frameworks, and ML frameworks.
  • Strong knowledge of cloud platforms (GCP, AWS) and containerization (Docker, Kubernetes).
  • Solid background working with SQL, NoSQL, and data warehouse technologies.
  • Excellent problem-solving, communication, and teamwork skills with the ability to work autonomously and manage multiple projects simultaneously.
  • BSc/MSc in Computer Science or equivalent.

It would be great if you also have:

  • Experience designing and implementing effective distributed ML workflows.
  • Deep understanding of parallel and distributed computing paradigms.

About Us:

AI21 Labs was formed by AI luminaries and veterans of the elite technology unit of Israel’s IDF (Yoav Shoham, Amnon Shashua, and Ori Goshen), with the mission of building AI systems with an unprecedented capacity to understand and generate natural language. The company’s products - Wordtune and Wordtune Read - aim to transform the way we read and write. Wordtune is the first AI-based writing companion that understands context and meaning, while Wordtune Read is an AI-based reading companion which helps people read faster, more efficiently and process information in less time. AI21 Studio is our B2B channel focused on empowering developers anywhere to build text based apps and services using our state-of-the-art language models.
AI21 Labs