Senior Machine Learning Engineer 2024
Aimpoint Digital
- Georgia
- Permanent
- Full-time
- Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
- Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
- Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate the delivery of advanced analytical insights
- Work with best-in-class data platforms such as Snowflake and Databricks and credentialize your skills with certifications
- Write code in SQL, Python, Snowpark, and Spark, and use software engineering best-practices such as Git and CI/CD
- Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
- Experience with managing stakeholders and collaborating with customers
- Strong written and verbal communication skills required
- 3+ years working with relational databases and query languages
- 3+ years supporting the development and deploying machine learning & AI models into production and ability to work across structured, semi-structured and unstructured data
- 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
- Ability to manage an individual workstream independently
- Expertise in software engineering concepts and best practices
- MLOps experience required
- Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) required
- Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) required
- Experience working with Apache Spark required
- Experience preparing data for analytics and following a data science workflow to drive business results required
- Consulting experience strongly preferred
- Experience working with cloud ETL/ELT tools (Fivetran, Airbyte, dbt, Matillion, Informatica, Talend, etc.) preferred
- Willingness to travel