Senior Software Development Engineer, ML Operations

1 Month ago • 5 Years + • Research Development

Job Summary

Job Description

As a Senior Software Development Engineer, Machine Learning (ML) Operations, you will be responsible for enabling PitchBook’s Machine Learning teams by providing tools that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). You will work with professionals around the world to delight customers and grow the business. You will be expected to continuously develop your expertise in a way that enhances PitchBook’s AI capabilities. You will be able to solve various common challenges faced in the MLDLC while providing technical guidance to less experienced peers.
Must have:
  • 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.
  • 5+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
  • Experience with at least 80% of the listed technologies and frameworks.

Job Details

Job 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). 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. Using your skills in DevOps, Data Science, Data Engineering, and ML Engineering, 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 pain points 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 projects as 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 tools 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+ 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, Terraform, Flux

  • Strong experience in at least 3: Machine Learning Engineering, Data Science, Data Engineering, DevOps, Platform Engineering

  • 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 Git Ops 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. 

Morningstar is an equal opportunity employer.

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.

Similar Jobs

Mattel Inc - Senior Demand Planner

Mattel Inc

Bagneux, Île-de-France, France (On-Site)
1 Month ago
Capgemini - BA_Payments

Capgemini

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Grab - Lead, Commercial Planning - Enterprise

Grab

Ho Chi Minh City, Vietnam (On-Site)
2 Months ago
WebFX - Jr. Website Planning Specialist

WebFX

Harrisburg, Pennsylvania, United States (On-Site)
8 Months ago
Riot Games - Researcher III - Central User Research

Riot Games

Los Angeles, California, United States (On-Site)
1 Month ago
zoox - Staff/Senior Staff Software Engineer, ML Performance Optimization

zoox

Foster City, California, United States (On-Site)
8 Months ago
Reddit - Staff Machine Learning Engineer - LS Embedding

Reddit

United States (Remote)
1 Month ago
Mozilla - Staff Machine Learning Engineer, Gen AI

Mozilla

Canada (Remote)
8 Months ago
WebFX - AI Digital Marketing Specialist

WebFX

United States (Remote)
1 Month ago
GoTo Group - Driver Researcher

GoTo Group

Jakarta, Indonesia (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Capgemini - Security Analyst

Capgemini

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Whatnot - Product Design Director

Whatnot

Los Angeles, California, United States (On-Site)
1 Month ago
binance - Senior Software Engineer (Java/Python/LLM)

binance

Taipei City, Taiwan (On-Site)
4 Months ago
Anthology  Inc  - Field Marketing Manager - Europe

Anthology Inc

Brno, South Moravian Region, Czechia (Hybrid)
3 Months ago
Springer Group - Integrated Solutions Manager

Springer Group

Kolkata, West Bengal, India (On-Site)
2 Weeks ago
Qualcomm - Software Engineer - Kernel Services

Qualcomm

San Diego, California, United States (On-Site)
1 Month ago
Paytm - Social Media Escalations (Support) - Team Lead - Travel Customer Support

Paytm

Bengaluru, Karnataka, India (On-Site)
2 Weeks ago
AECOM - Senior Dam Engineer / Project Manager

AECOM

Oakland, California, United States (Hybrid)
1 Week ago
Adtran - Senior Software Engineer

Adtran

Gdynia, Pomeranian Voivodeship, Poland (Hybrid)
1 Month ago
FTF Studios - FTF Senior 3D Artist

FTF Studios

(Remote)
1 Year ago

Get notifed when new similar jobs are uploaded

Jobs in Mumbai, Maharashtra, India

Cadence - Senior DFT Engineer

Cadence

Bengaluru, Karnataka, India (On-Site)
9 Months ago
Capgemini - PaPM

Capgemini

Chennai, Tamil Nadu, India (On-Site)
1 Month ago
Qualcomm - Physical Design Engineer - Staff/Sr. Staff (Display Team)

Qualcomm

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Pinnacle Group - Lead Product Designer

Pinnacle Group

Bengaluru, Karnataka, India (On-Site)
1 Year ago
Boomi  - Front end Software engineer

Boomi

Bengaluru, Karnataka, India (On-Site)
2 Weeks ago
Enphase Energy - Senior Boomi Developer

Enphase Energy

Bengaluru, Karnataka, India (Hybrid)
3 Months ago
Qualcomm - Engineer - Graphics Dev tools

Qualcomm

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Moving Walls India - HR Training Coordinator

Moving Walls India

Chennai, Tamil Nadu, India (On-Site)
3 Years ago
Nagarro - Associate Staff Engineer, Frontend React

Nagarro

India (Remote)
8 Months ago

Get notifed when new similar jobs are uploaded

Research Development Jobs

bytedance - Research Scientist in Foundation Models for Science - ByteDance Research

bytedance

San Jose, California, United States (On-Site)
7 Months ago
NVIDIA - Deep Learning Performance Architect

NVIDIA

Shanghai, Shanghai, China (On-Site)
5 Months ago
Canva - Staff Machine Learning Engineer - User Voice

Canva

Melbourne, Victoria, Australia (Remote)
2 Months ago
GoMotive - Software Engineer, Machine Learning

GoMotive

(Remote)
1 Month ago
Microsoft - Senior Technical Program Manager, Copilot AI

Microsoft

Mountain View, California, United States (Hybrid)
2 Months ago
Bosch Group India - Senior ML Engineer Lead - Time Series

Bosch Group India

Bengaluru, Karnataka, India (On-Site)
3 Months ago
Rippling - Senior Staff Machine Learning Engineer

Rippling

San Francisco, California, United States (On-Site)
10 Months ago
DevRev - Software Engineer - Applied AI Support

DevRev

Buenos Aires, Buenos Aires, Argentina (On-Site)
1 Month ago
Microsoft - Researcher

Microsoft

Beijing, Beijing, China (On-Site)
2 Months ago
Valeo - AM/DM- R&D (Mechanical Design Leader)

Valeo

Pune, Maharashtra, India (On-Site)
7 Months ago

Get notifed when new similar jobs are uploaded

About The Company

New Delhi, Delhi, India (Hybrid)

Mumbai, Maharashtra, India (Hybrid)

Mumbai, Maharashtra, India (Hybrid)

Mumbai, Maharashtra, India (Hybrid)

Mumbai, Maharashtra, India (Hybrid)

Tokyo, Japan (Hybrid)

Mumbai, Maharashtra, India (Hybrid)

Bucharest, Bucharest, Romania (Hybrid)

Bucharest, Bucharest, Romania (Hybrid)

Amsterdam, North Holland, Netherlands (Hybrid)

View All Jobs

Get notified when new jobs are added by Morning Star

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug