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Software Developer

Software Developer with Bachelor’s Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Job Duties and Responsibilities:

  • Implement and manage version control, continuous integration, and continuous deployment (CI/CD) systems for Machine Learning models and related software components.
  • Monitor the performance and health of deployed Machine Learning models, making necessary adjustments and improvements to ensure optimal performance and reliability.
  • Develop and maintain tools and processes to automate and streamline Machine Learning model deployment, monitoring, and management.
  • Troubleshoot and resolve issues related to Machine Learning model deployment and infrastructure.
  • Document and communicate MLOps processes, guidelines and procedures to ensure consistency and knowledge sharing across the organization.
  • Writing production level test driven code in Python and/or Java and Scala.
  • Deploying and optimizing different pipelines that support various Data Science processes.
  • Establish and set up model Life-Cycle Management with tools like MLflow, etc.
  • Developing and deploying Spark / Databricks jobs with enterprise tool stack including Jenkins, GitHub actions.
  • Deployment utilizing containerization solutions like Docker and Kubernetes.
  • Implement test setup automation in cloud platforms using automation tools like Ansible.
  • Work as an Agile team member in a scrum team and collaborate with other Engineers and Scientists.
  • Work with Product Managers and Senior Scientists to deliver on the modeling needs.

Technologies Involved / Skills required for the position:

  • Cloud Platform: Google Cloud Platform (GCP) services, including AI Platform, Vertex AI, Dataflow, BigQuery, Cloud Storage and Kubernetes Engine. Microsoft Azure Cloud Computing Services including AKS, Azure Databricks, MLOps, Azure Pipelines.
  • Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn.
  • Data Processing and Pipeline: Apache Beam - Dataflow, and Apache Airflow, DataProc.
  • CI/CD and Version Control: Jenkins, and Git.
  • Automation: Ansible.
  • Containerization and Orchestration: Docker for containerization and Kubernetes with Helm.
  • Experiment Tracking and Model Versioning: MLflow, DVC or TFX for tracking experiments, managing model versions, and ensuring reproducibility.
  • Monitoring and Logging: Vertex AI Monitoring, Fluentd, Splunk.
  • Programming Languages: Python, Java, Scala.

Work location is Portland, ME with required travel to client locations throughout USA.

Rite Pros is an equal opportunity employer (EOE).

Please Mail Resumes to:
Rite Pros, Inc.
565 Congress St, Suite # 305
Portland, ME 04101.