Senior Machine Learning Engineer

The Senior 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

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RESPONSIBILITIES

* Design, develop, and deploy machine learning models and other data solutions

in alignment with business requirements and technical specifications defined

* Train, validate, and optimize machine learning models and other data

solutions to ensure high performance and accuracy. Implement techniques for

model/solution improvement and fine-tuning.

* Write high-quality, maintainable, and scalable code

* Create and maintain technical documentation including model development

processes, deployment workflows, operational procedures, code comments,

design documents, and user manuals

* MLOps Implementation: Develop and maintain CI/CD pipelines for seamless model

deployment. Drive 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

* Collaborate 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 is not a remote/hybrid position, and will report to our headquarters in

Cleveland, OH

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 7 years of experience in software development

* 4+ years of experience in ML, MLOps, and/or software development

* In-depth knowledge of software development life cycle (SDLC) methodologies

and practices, particularly MLOps and DevOps

* In-depth knowledge of software development tools, platforms and languages,

particularly cloud platforms

* Experience in developing, integrating, testing and deploying software

solutions for cloud-based or internet-related tools

* Knowledge of relational databases and SQL

* Excellent written and verbal communication skills

* Experience in developing Microservices and in-depth knowledge of various

Integration patterns

* Must be eighteen years or older

* Must be legally authorized to work in the United States without company

sponsorship

Preferred

* Databricks experience

* Supply chain experience

* R&D experience

* AI implementation experience be it RAG/TAG/other generative or agentic

workloads

* SW experience preferred

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#dnp-indeed

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.