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PitchBook · 1 day ago

Engineering Manager, Machine Learning Operations

New York, NY

Full-time

Onsite

Director/Executive

$240K/yr - $300K/yr

6+ years exp

PitchBook, a Morningstar company, is focused on innovation and collaboration in the technology sector. The Engineering Manager, Machine Learning Operations will lead the MLOps team to optimize the Machine Learning Development Life Cycle and drive AI innovations across the organization.

AnalyticsFinanceVenture Capital

Culture & Values

No H1B

Responsibilities

Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria

Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency

Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products

Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation

Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives

Ensure MLOps roadmap items are delivered on time and have exceptional quality

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

Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders

Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun

Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity

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

Participate in various company initiatives and projects as requested

Qualification

Machine Learning algorithmsMLOpsCloud platforms (AWS/GCP)Containerization (Kubernetes/Docker)PythonCI/CD pipelinesSQL/NoSQL databasesCommunication skillsProblem-solving skillsTeam player

Required

Bachelor's, Master's, or PhD in Computer Science, Mathematics, Data Science, or a related field

3+ years of experience in an engineering leadership role, managing globally distributed teams

6+ years of experience in hands-on development of Machine Learning algorithms

6+ years of experience in hands-on deployment of Machine Learning services

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

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

Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and 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

Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Preferred

Experience working across multiple development teams is a plus

Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily