Senior Machine Learning Engineer

Job Overview

As a Senior Software Development Engineer , M achine 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). Your work will support projects in a variety of domains, including Generative AI ( GenAI ), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression.

Team Overview

Your team s goal will be to reduce friction and time-to-business-value for teams building Artificial Intelligence (AI) solutions at PitchBook . You will be essential in helping to build exceptional AI solutions relied upon and used by thousands of PitchBook customers every day . You will work with PitchBook professionals around the world with the collective goal of delighting our customers and growing our business.

While demonstrating a growth mindset, you will be expected to continuously develop your expertise in a way that enhances PitchBook s AI capabilities in a scalable and repeatable manner. You will be able to solve various common challenges faced in the MLDLC while providing technical guidance to less experienced peers.

Outline of Duties and 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

• Support the vision and values of the company through role modeling and encouraging desired behaviors.

• Participate in various cross-functional company initiatives and p rojects a s requested .

• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.

• Evaluate frameworks, vendors, and to ols that can be used to optimize processes and costs with minimal guidance.

Experience, Skills and Qualifications

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience)

• 5 2 + years of experience in hands-on development of Machine Learning algorithms

• 5 2 + years of experience in hands-on deployment of Machine Learning services

• 5 2 + years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance

• 5 2 + years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)

• Experience with at least 8 7 0%: PyTorch , Tensorflow , LangChain , scikit-learn, Redis, Elasticsearch, Amazon SageMaker , Google Vertex AI, Weights & Biases, FastAPI , Prometheus, Grafana, Apache Kaf ka, Apache Airflow, MLflow , KubeFlow

• Ability to break large, 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

Working Conditions