Senior Machine Learning Solutions Architect

What You Will Do

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Architect end to end machine learning solutions from data ingestion through production consumption across multiple business use cases

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Design and standardize how data flows across systems to support machine learning, analytics, personalization, and real time decisioning

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Define the architectural patterns that support feature engineering, model training workflows, experimentation, and model evaluation at scale

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Define MLOps patterns that enable consistent deployment, monitoring, and lifecycle management of models at scale

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Build reusable capabilities such as feature pipelines, model serving frameworks, and data access patterns

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Define how machine learning and analytical outputs are exposed through APIs, batch processes, and real time services

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Partner with data scientists and engineers to remove friction between experimentation and production while driving key architectural decisions

What You Will Bring

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Bachelor’s degree in Data Science, Statistics, Computer Science, or a closely related quantitative field

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8 plus years of experience in data, platform, or software engineering roles with exposure to machine learning or advanced analytics

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Experience designing and delivering production grade machine learning or advanced analytics solutions

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Strong background in data architecture and data movement across distributed systems

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Deep understanding of machine learning workflows including feature engineering, model training, experimentation, evaluation, and production deployment

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Experience with modern data and machine learning platforms such as AWS, Snowflake, Databricks, or similar

What You Will Set You Apart

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Experience designing systems that directly enable personalization, marketing activation, or customer level decisioning

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Experience building or scaling MLOps capabilities beyond experimentation into production use

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Experience working with real time or event driven data and machine learning use cases

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Experience working closely with data scientists to productionize models and scale experimentation into repeatable systems

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Proven ability to connect machine learning with broader analytics and business workflows

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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

This job operates in a professional office environment.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.