Senior Machine Learning Engineer

Senior Machine Learning Engineer with Warehouse and logistics systems

Location Atlanta GA or Remote

Duration 612 Months

• Look for Senior profiles (8 years)
• WMS
• Logistics

Core Job Responsibilities:

Develop endtoend ML pipelines encompassing the ML lifecycle from data ingestion data transformation model training model validation model serving and model evaluation over time.

Collaborate closely with AI scientists to accelerate productionization of ML algorithms.

Setup CI/CD/CT pipelines model repository for ML algorithms

Deploy models as a service both oncloud and onprem.

Learn and apply new tools technologies and industry best practices.

Key Qualifications

MS in Computer Science Software Engineering or equivalent field

Experience with Cloud Platforms especially GCP and related skills: Docker Kubernetes edge computing

Familiarity with task orchestration tools such as MLflow Kubeflow Airflow Vertex AI Azure ML etc.

Fluency in at least one general purpose programming language. Python Required

Strong skills in the following: Linux/Unix environment testing troubleshooting automation Git dependency management and build tools (GCP Cloud Build Jenkins Gitlab CI/CD Github Actions etc.).

Data engineering skills are a plus such as Beam Spark Pandas SQL Kafka GCP Dataflow etc.

5 years of experience including academic experience in any of the above.