remote
AI Engineer - abacum
AI Engineer
AI Engineer building scalable ML solutions on AWS, designing data pipelines, and deploying models with Python, TensorFlow, and Docker to empower finance planning tools.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning models that enhance financial planning and forecasting.
- Build and maintain robust data pipelines using Python, SQL, and AWS services (S3, Glue, Redshift).
- Collaborate with data scientists and product teams to translate business requirements into technical solutions.
- Implement model monitoring, versioning, and CI/CD workflows with Docker and AWS SageMaker.
- Optimize model performance and scalability, ensuring high availability and low latency.
Requirements
- 3+ years of experience in AI/ML engineering with a strong Python foundation.
- Solid understanding of data engineering concepts and SQL.
- Experience with containerization (Docker) and CI/CD pipelines.
Skills
pythonmachine learningawssqltensorflowdocker