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Senior Software Development Engineer, Machine Learning Operations - Remote

Posted 5 weeks ago

Overview

As a Senior Software Development Engineer, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC).

In Short

  • Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation
  • Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment
  • Provide mentorship, technical guidance, and perform code reviews for team members
  • Design and deliver on projects end-to-end with little to no guidance
  • Provide support to teams building and deploying AI applications by addressing common painpoints in the MLDLC
  • Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks
  • Contribute to strategic planning to ensure the team builds exceptional products
  • Evaluate frameworks, vendors, and tools to optimize processes and costs
  • Support the vision and values of the company through role modeling
  • Participate in various company initiatives and projects as requested

Requirements

  • Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred
  • 5+ years of experience in hands-on development of Machine Learning algorithms
  • 5+ years of experience in hands-on deployment of Machine Learning services
  • 5+ years of experience supporting the entire MLDLC
  • 5+ years of experience with AWS and/or GCP
  • Experience with at least 80%: PyTorch, TensorFlow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow
  • Ability to break large and complex problems into well-defined steps
  • Experience in cloud-native delivery with Kubernetes and Docker
  • Proficiency in GitOps and creation/management of CI/CD pipelines
  • Demonstrated experience building and using SQL/NoSQL databases
  • Demonstrated experience with Python and other relevant programming languages
  • Excellent problem-solving skills with a focus on innovation
  • Strong communication and collaboration skills
  • Ability to be a team player who can also work independently
  • Experience working across multiple development teams is a plus

Benefits

  • Comprehensive health benefits
  • Paid sabbatical program after four years
  • Paid family and paternity leave
  • Annual educational stipend
  • 401k match
  • Shared ownership employee stock program
  • Monthly transportation stipend

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