Senior Machine Learning Engineer

The Career, Machine Learning Engineer role 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

• Design, develop, and deploy machine learning models, software artifacts, 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 position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa.

This position has a hybrid work schedule with three days in the office and the option for working remotely two days.

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.

Education

• 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
• Preferred
  • Certified Software Development Professional (CSDP) or equivalent certification

Skills and Experience

• Required
  • 4-6 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
  • Experience in Optimization methods, in particular Simulation and Mixed-Integer Programming (MIP), or similar techniques, preferred
    • Technical Skills 
      • Experience with MLFlow, AzureML, Dataiku, or other MLOps platform a plus
      • Database Management Systems, particularly Snowflake and Oracle
      • 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

Here, we believe there’s not one path to success, we believe in careers that grow with you. Whoever you are or wherever you come from in the world, there’s a place for you at Sherwin-Williams. We provide you with the opportunity to explore your curiosity and drive us forward. Sherwin-Williams values the unique talents and abilities from all backgrounds and characteristics. All qualified individuals are encouraged to apply, including individuals with disabilities and Protected Veterans. We’ll give you the space to share your strengths and we want you show us what you can do. You can innovate, grow and discover in a place where you can thrive and Let Your Colors Show!  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/. 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 position, which 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 non-discriminatory factors considered in making compensation decisions including geographic location; skill sets; experience and training; licensure and certifications; and other business and organizational needs. 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/Affirmative Action employer committed to an inclusive and diverse workplace. 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.