Senior ML Solution Architect
location_onEast 57th Street, Swope Parkway-Elmwood, Kansas City, Jackson County, Missouri, 64130, United States
Job Description
About the Company
We are the industry’s top AI Consulting firm, working with the world’s top brands to execute data initiatives in artificial intelligence. We value innovation and initiative, offering a challenging and rewarding work environment where you can shape the future of ML applications and contribute to the development of our technology stack.
About the Role
We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to design, implement, and maintain ML solutions that will have a direct impact on our business and customers. As a permanent position, this role offers autonomy within a small team, allowing you to work closely with data scientists and engineers to bring scalable ML solutions into production.
Application Process
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Work location
Work model: Remote
East 57th Street, Swope Parkway-Elmwood, Kansas City, Jackson County, Missouri, 64130, United States
Kansas City, Missouri
Key Responsibilities
- check_circleDesign and build robust and scalable ML solutions to meet business requirements
- check_circleImplement and deploy scalable ML solutions into production with data scientists and engineers
- check_circleDevelop and maintain data pipelines for large scale data processing
- check_circleHandle data extraction, cleaning, and transformation using Spark, Snowflake, Python, and Scala
- check_circleImplement best practices for ML development including testing, documentation, and version control
- check_circleCollaborate with cross-functional teams to translate needs into ML solutions
- check_circleProvide consulting services to internal and external stakeholders on ML best practices
- check_circleManage infrastructure and deploy ML models using Terraform and Docker
- check_circleImplement and manage CI/CD pipelines for ML solutions
- check_circleStay up-to-date with ML developments and introduce new technologies and methodologies
Requirements
- verifiedBachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field
- verifiedMinimum 5 years of experience in designing and implementing ML solutions
- verifiedStrong programming skills in Python and Scala
- verifiedExperience with data pipeline tools such as Spark and Snowflake
- verifiedProven experience in consulting
- verifiedExperience with infrastructure management tools such as Terraform and Docker
- verifiedExperience in setting up and managing CI/CD pipelines
Benefits & Perks
Skills, education and keywords
Skills: machine learning, python, scala, spark, snowflake, terraform, docker, data pipelines, ci/cd.
Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field; Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.