Description

Job Responsibilities:

  • 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 (commercial and open source) that can be leveraged to improve PitchBook’s AI capabilities
  • Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value
  • Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance
  • Support the vision and values of the company through role modeling and encouraging desired behaviors 
  • Participate in various company initiatives and projects as requested 

 

Skills and Qualifications:

  • 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, including post-deployment operations such as monitoring and maintenance
  • 5+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (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, ensuring iterative development and continuous improvement
  • Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker and the ability to manage these across different regions
  • Proficiency in GitOps and creation/management of CI/CD pipelines
  • Demonstrated experience building and using SQL/NoSQL databases
  • Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
  • Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
  • Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
  • Ability to be a team player who can also work independently
  • Experience working across multiple development teams is a plus

Key Skills
Education

Any Gradute

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