w2 role -Machine Learning Engineer IV (Sagemaker)

Job Title – Machine Learning Engineer IV (Sagemaker)

Location - Cincinnati Ohio, only local candidate

Duration – 6 months contract

Need local candidates

Qualifications:

Experience:

• Minimum of 3-5 years of experience in machine learning and MLOps.
• Proven experience with AWS Sagemaker and building end-to-end machine learning models.
• Experience with data integration and management using IBM DB2 and Snowflake (or like databases)
• Strong understanding of CI/CD pipelines and automation tools.

Technical Skills:

• Proficiency in programming languages such as Python, R, SQL and/or Java.
• Use of Client’s standard DevOps tools such as Jira, Terraform, GitHub, Jenkins
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

Squad outcomes:

• Future (2025 & Beyond) – Utilize AWS Sagemaker to expand Feature Store, introduce Model Registry, CI/CD, Real-Time models for our large data science credit models. 
• The squad is currently working on an in-house build of Feature Store to help speed up modeling process for our Data Science department. Combination of Snowflake, Cloud Pak for Data. (More on this later)
• Currently, data scientist build model features (attributes) about customers in their own Jupyter notebook that feed into their models and never reuseable for others… aka reason for Feature Store
• They are also working on building real time scoring framework for our loan/card application process. Right now it’s batch and can be almost 31 days behind.
• Technology used: Docker, Kafka, Snowflake, Feature Store

TECHNICAL SKILLS

Must Have:

• Amazon SageMaker
• CI/CD
• Dev Op tools like Jira, Terraform, GitHub, or Jenkins
• Docker
• Experience in a highly regulated industry such as Banking/Financial/Healthcare
• GitHub
• Python
• SQL
• Terraform

Nice To Have:

• DBT
• Java
• Snowflake

Thanks and Regards

Ajita Bishwakarma

Phone: 9712590275 *131

Email: ajita@apetan.com