Senior Machine Learning Solutions Architect

🔥 54 minutes ago

🇺🇸 United States – Remote

💵 $138k - $200.1k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• 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

🎯 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.