Senior ML Engineer

Role: Senior ML Engineer

Location: Atlanta GA or Remote

Type: Contract

Job Description

Warehousing and logistics systems play an increasingly critical role in contributing to the competitiveness of many companies and at the same time to the effectiveness of the general world economy. The modern intralogistics solutions combine stateoftheart mechatronic complex software advanced robotics modern computational perception and sophisticated AI and operations research algorithms to provide high throughput and efficient processing for many missions critical commercial logistics applications.

Our Warehouse Execution Software leverages advances in classical and modern optimization techniques to bring intelligent execution to the world of intralogistics and warehouse automation. We synchronize the discrete and lowlevel logistics related processes to create a realtime decision engine that drives labor and equipment at the highest efficiency. Our software provides customers the operational agility they need to efficiently handle the demands of an Omnichannel environment. We are looking for a highly motivated individual who can engineer/develop cutting edge M frameworks to deploy AI models. The candidate should have a solid grasp of stateoftheart cloud technologies best in class deployment architectures/frameworks and production grade software. Finally the role requires strong team and interdisciplinary collaboration to see products through the development cycle from beginning to end.

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.
• 3 years of experience including academic experience in any of the above.