Senior Machine Learning Solutions Architect
Location
United States
Posted
2 days ago
Salary
$138K - $200.1K / year
Seniority
Senior
Job Description
Senior Machine Learning Solutions Architect
Empower
• Architect end to end machine learning solutions from data ingestion through production consumption across multiple business use cases • Design and standardize how data flows across systems to support machine learning, analytics, personalization, and real time decisioning • Define the architectural patterns that support feature engineering, model training workflows, experimentation, and model evaluation at scale • Define MLOps patterns that enable consistent deployment, monitoring, and lifecycle management of models at scale • Build reusable capabilities such as feature pipelines, model serving frameworks, and data access patterns • Define how machine learning and analytical outputs are exposed through APIs, batch processes, and real time services • Partner with data scientists and engineers to remove friction between experimentation and production while driving key architectural decisions
Job Requirements
- Bachelor’s degree in Data Science , Statistics, Computer Science, or a closely related quantitative field
- 8 plus years of experience in data, platform, or software engineering roles with exposure to machine learning or advanced analytics
- Experience designing and delivering production grade machine learning or advanced analytics solutions
- Strong background in data architecture and data movement across distributed systems
- Deep understanding of machine learning workflows including feature engineering, model training, experimentation, evaluation, and production deployment
- Experience with modern data and machine learning platforms such as AWS, Snowflake, Databricks, or similar
- Experience designing systems that directly enable personalization, marketing activation, or customer level decisioning
- Experience building or scaling MLOps capabilities beyond experimentation into production use
- Experience working with real time or event driven data and machine learning use cases
- Experience working closely with data scientists to productionize models and scale experimentation into repeatable systems
- Proven ability to connect machine learning with broader analytics and business workflows
- Relevant certifications such as AWS Certified Solutions Architect, AWS Machine Learning Specialty, Snowflake SnowPro Advanced Data Engineer or Data Scientist, Databricks Machine Learning Professional, or Google Professional Machine Learning Engineer
Benefits
- Medical, dental, vision and life insurance
- Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
- Tuition reimbursement up to $5,250/year
- Business-casual environment that includes the option to wear jeans
- Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
- Paid volunteer time — 16 hours per calendar year
- Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
- Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.
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