Director, Machine Learning Ops Engineer

TieTalent; Massachusetts; Hybrid; USD 200,000 - 230,000; Full time

Job summary

An established industry player is seeking a Director of ML Ops Engineer to spearhead the development of a cutting-edge ML platform. This pivotal role involves hands-on engineering, working closely with a talented team to optimize the deployment of machine learning models. The ideal candidate will bring extensive experience in software engineering, particularly in distributed systems and data infrastructure, along with a strong command of Python and AWS. Join a dynamic fintech incubator that merges startup agility with the stability of a leading financial institution, and help shape the future of financial advisory services.

Qualifications

• Extensive software engineering experience including distributed systems.
• Strong knowledge of Python and Pandas for data manipulation.
• Experience with ML infrastructure and AWS services.

Responsibilities

• Build and maintain the next generation ML platform and infrastructure.
• Lead initiatives to simplify the deployment of ML models at scale.
• Collaborate with technical leads, engineers, and data scientists.

Skills

Software Engineering

Distributed Systems

Data Infrastructure

Python

Pandas

ML Infrastructure

AWS

Data Science

Machine Learning

DevOps

Job description

3 weeks ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

About

The Director of ML Ops Engineer at Fidelity Labs is a pivotal role for the continued success and growth of the Catchlight startup. Catchlight is a new software solution that helps financial advisors prioritize and optimize their leads and prospects. Catchlight launched in January 2022 and is now available to financial advisors across the United States. Visit catchlight.ai for more information. In this role, you will be responsible for hands-on building and maintaining the next generation ML platform and infrastructure. The Director of ML Ops Engineer will work closely with technical leads, infrastructure engineers, and data scientists. They will establish best practices and lead initiatives to simplify the development and deployment of ML models at scale and bring game-changing ideas to market. The Expertise and Skills You Bring: Extensive software engineering experience including distributed systems and data infrastructure Strong knowledge of Python, Pandas Experience with ML infrastructure and ML ops Building tooling and automation to support the entire ML engineering lifecycle from experimentation to production operations Experience with the AWS stack, including AWS Sagemaker Strong understanding of data science, core ML concepts and approaches Passion for testing as a core part of the development process You thrive in fast-paced, ambiguous environments with high risks and high rewards The Team: We are Fidelity Labs, Fidelity Investments' in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses, and financial institutions we serve. Fidelity Labs is a dynamic workplace that combines the best parts of startup life-building from scratch, adapting quickly, and moon-shot ambition-with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. This opportunity is brought to you by Fidelity Labs. Learn more at labs.fidelity.com Certifications: Category: Information Technology Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office. J-18808-Ljbffr

About

The Director of ML Ops Engineer at Fidelity Labs is a pivotal role for the continued success and growth of the Catchlight startup. Catchlight is a new software solution that helps financial advisors prioritize and optimize their leads and prospects. Catchlight launched in January 2022 and is now available to financial advisors across the United States. Visit catchlight.ai for more information. In this role, you will be responsible for hands-on building and maintaining the next generation ML platform and infrastructure. The Director of ML Ops Engineer will work closely with technical leads, infrastructure engineers, and data scientists. They will establish best practices and lead initiatives to simplify the development and deployment of ML models at scale and bring game-changing ideas to market. The Expertise and Skills You Bring: Extensive software engineering experience including distributed systems and data infrastructure Strong knowledge of Python, Pandas Experience with ML infrastructure and ML ops Building tooling and automation to support the entire ML engineering lifecycle from experimentation to production operations Experience with the AWS stack, including AWS Sagemaker Strong understanding of data science, core ML concepts and approaches Passion for testing as a core part of the development process You thrive in fast-paced, ambiguous environments with high risks and high rewards The Team: We are Fidelity Labs, Fidelity Investments' in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses, and financial institutions we serve. Fidelity Labs is a dynamic workplace that combines the best parts of startup life-building from scratch, adapting quickly, and moon-shot ambition-with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. This opportunity is brought to you by Fidelity Labs. Learn more at labs.fidelity.com Certifications: Category: Information Technology Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office. J-18808-Ljbffr

Nice-to-have skills

• Python
• Pandas
• AWS
• Data Science
• Massachusetts, United States
  
  

Work experience

• Machine Learning
• Data Infrastructure
• DevOps
  
  

Languages

• English

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

Referrals increase your chances of interviewing at TieTalent by 2x

Sign in to set job alerts for “Director of Machine Learning” roles.

Global Head of AI-Driven Innovations, Clinical Data and AI Processing

Senior Director, Advanced Analytics, Data Science & AI

Senior Director of AI & Advanced Analytics - Pharmaceutical

Director, AI Science Factory Product (Materials)

Boston, MA $200,000.00-$230,000.00 3 weeks ago

Director, AI Science Factory Product (Materials)

Vice President Scientific Data Management

Director II, Discovery Biotherapeutics AI/ML

Head of Agriculture and Biofuel Analytics (Remote)

Lead Director, Data Science - Healthcare Analytics

Director of Applied AI Research Data Science (Drug Discovery, Chemistry)

Boston, MA $180,000.00-$220,000.00 2 months ago

Vice President, Head of Computational Biology and Machine Learning

Director/Senior Director - Commercial Analytics & Insights (1185)

Director, Global Functions, Data Science Digital Health

Senior Director/Director, Software Product

Massachusetts, United States $195,000.00-$293,000.00 2 weeks ago

AI & Generative AI Product Manager- Digital Health

Executive Director, Knowledge Science Research

Boston, MA $245,000.00-$440,000.00 1 day ago

Sr. Director, Computational Chemistry & Molecular Design

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.