The Lead Machine Learning Engineer is responsible for designing, developing,
testing and operationalizing ML (Machine Learning) and other data solutions,
including cloud-based or internet-related tools for internal or external
consumption. The Incumbent will provide technical solutions to enable the
company to meet its strategic objectives through effective collaboration with
business analysts, data scientists, software engineers, platform engineers,
quality assurance testers, and project managers. The Incumbent will collaborate
with others to ensure successful teamwork, effective development, and delivery
of high-quality machine learning and data solutions that include MLOps practices
such as CI/CD pipelines, automated testing, and monitoring.
RESPONSIBILITIES
Oversee the design, development, and deployment of machine learning models
and other data solutions in alignment with business requirements and
technical specifications defined
Guide the training, validation, and optimize machine learning models and
other data solutions to ensure high performance and accuracy. Implement
techniques for model/solution improvement and fine-tuning.
Provide strategic direction in the writing of high-quality, maintainable, and
scalable code
Expert in Creating and maintaining technical documentation including model
development processes, deployment workflows, operational procedures, code
comments, design documents, and user manuals
MLOps Implementation: Provide expert guidance through the development and
implementation of CI/CD pipelines for seamless model deployment. Guide
testing throughout the development, integration, deployment, and management
of the software solution, and automating where possible to ensure solution
quality and security in accordance with industry standards and company
policies
Foster cross functional collaboration with data scientists, business
analysts, software engineers, IT operations, quality assurance testers, and
project managers to to translate business requirements into successful
technical solutions that are integrated into production environments
Provide ongoing solution support including incident and problem management,
root cause analysis, request fulfilment, security compliance, fault repair,
resiliency testing, and observability
Innovation and Research: Stay updated with the latest advancements in machine
learning and MLOps practices. Explore and implement innovative solutions to
enhance the company’s machine learning capabilities.
This position can be remote.
This position is not eligible for sponsorship for work authorization now or in
the future, including conversion to H1-B visa. Must be legally authorized to
work in the country of employment without needing sponsorship for employment
work visa status now or in the future.
Job duties include contact with other employees and access confidential and
proprietary information and/or other items of value, and such access may be
supervised or unsupervised. The Company therefore has determined that a review
of criminal history is necessary to protect the business and its operations and
reputation and is necessary to protect the safety of the Company’s staff,
employees, and business relationships.
QUALIFICATIONS
Education and Experience
Required
Bachelor's Degree in Computer Science or Computer Engineering or in lieu of a
degree, at least 9 years of experience in software development
6+ years of experience in ML, MLOps, and/or software developmen
Highly proficient knowledge of software development life cycle (SDLC)
methodologies and practices, particularly MLOps and DevOps
Highly proficient knowledge of software development tools, platforms and
languages, particularly cloud platforms
Proven experience in developing, integrating, testing and deploying software
solutions for cloud-based or internet-related tools
Expert of relational databases and SQL
Excellent written and verbal communication skills
Proven experience in developing Microservices and in-depth knowledge of
various Integration patterns
Use of Generative AI tools for SDLC, such as Claude Code, Codex, or Github
Copilot
Experience developing Generative AI systems, such as LLM-based chatbots, RAG
systems, agentic workflows, or the like.
Database Management Systems
Data Science or Statistics experience, particularly as relates to Machine
Learning
Programming Languages, particularly Python or R
Cloud Technologies & Platforms
Software Development Lifecyle (SDLC) Methodology
Continuous Integration and Continuous Deployment (CI/CD)
Web Services & APIs
Familiarity with MLOps practices, including CI/CD pipelines, automated
testing, and model monitoring.
Experience with tools such as Docker, Kubernetes, Jenkins, and MLflow
Containerization and cloud-native development
Source Control Systems, particularly github
Build Tools and Compilers
Software Testing & Quality Assurance Methodologies & Tools
Automated Testing Tools
Solution Architecture Patterns
Data Science platforms
Systems Integration patterns and technologies
Must be legally authorized to work in the United States without sponsorship
now or in the future for employment visa status
Must be at least eighteen (18) years of age
Preferred
Certified Software Development Professional (CSDP) or equivalent
certification
At Sherwin-Williams, our purpose is to inspire and improve the world by coloring
and protecting what matters. Our paints, coatings and innovative solutions make
the places and spaces in our world brighter and stronger. Your skills, talent
and passion make it possible to live this purpose, and for customers and our
business to achieve great results. Sherwin-Williams is a place that takes its
stability, growth and momentum and translates it to possibility for our people.
Our people are behind the strength of our success, and we invest and support you
in:
Life … with rewards, benefits and the flexibility to enhance your health and
well-being
Career … with opportunities to learn, develop new skills and grow your
contribution
Connection … with an inclusive team and commitment to our own and broader
communities
It's all here for you... let's Create Your Possible
At Sherwin-Williams, part of our mission is to help our employees and their
families live healthier, save smarter and feel better. This starts with a wide
range of world-class benefits designed for you. From retirement to health care,
from total well-being to your daily commute—it matters to us. A general
description of benefits offered can be found at http://www.myswbenefits.com/
[http://www.myswbenefits.com/]. Click on “Candidates” to view benefit offerings
that you may be eligible for if you are hired as a Sherwin-Williams employee.
Compensation decisions are dependent on the facts and circumstances of each case
and will impact where actual compensation may fall within the stated wage range.
The wage range listed for this role takes into account the wide range of factors
considered in making compensation decisions including skill sets; experience and
training; licensure and certifications; and other business and organizational
needs. The disclosed range estimate has not been adjusted for the applicable
geographic differential associated with the location at which the position may
be filled. The wage range, other compensation, and benefits information listed
is accurate as of the date of this posting. The Company reserves the right to
modify this information at any time, with or without notice, subject to
applicable law.
Qualified applicants with arrest or conviction records will be considered for
employment in accordance with applicable federal, state, and local laws
including with the Los Angeles County Fair Chance Ordinance for Employers and
the California Fair Chance Act where applicable.
Sherwin-Williams is proud to be an Equal Employment Opportunity employer. All
qualified candidates will receive consideration for employment and will not be
discriminated against based on race, color, religion, sex, sexual orientation,
gender identity, national origin, protected veteran status, disability, age,
pregnancy, genetic information, creed, marital status or any other consideration
prohibited by law or by contract.
As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local
employment services delivery systems to provide priority referral of Protected
Veterans.
Please be aware, Sherwin-Williams recruiting team members will never request a
candidate to provide a payment, ask for financial information, or sensitive
personal information like national identification numbers, date of birth, or
bank account numbers during the application process.