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AI Software Developer
2 months ago
We are seeking a highly skilled Machine Learning Engineer to join our team at Opus Recruitment Solutions. As a key member of our Machine Learning department, you will play a crucial role in enhancing our NLP and General AI systems to streamline our operational processes.
Key Responsibilities- Implement LLM and General AI Automations: Design and develop automations to elevate the customer experience and improve operational efficiency.
- Oversee and Refine Existing Machine Learning Workflows: Ensure the quality and reliability of our current ML and data transformation workflows, including ML Ops management.
- Embrace Test-Driven Development: Maintain clean code standards, ensure thorough documentation, and adhere to agile development methodologies.
- Construct Data Transformation and Inference Workflows: Develop data transformation pipelines utilizing SQL and NoSQL databases, and establish CI/CD pipelines using Jenkins, Azure DevOps, or GitHub Actions.
- Develop APIs for Seamless Integration: Create APIs to integrate ML models into broader applications, ensuring seamless communication between systems.
- Identify ML and Intelligent Automation Prospects: Collaborate with business and project teams to identify opportunities for ML and Intelligent Automation, capturing and interpreting business needs.
- Assure the Quality of Machine Learning Code: Ensure the quality of machine learning code produced by peers, and coordinate with the IT infrastructure manager for the upkeep of Intelligent Automation infrastructure components.
- Document and Agree Upon Development Hours and Story Points: Ensure alignment with testing duration expectations, and address daily operational challenges in collaboration with the IT team.
- Uphold Personal Accountability: Achieve objectives aligned with our organizational values, and maintain a commitment to test-driven development practices.
- Proficient in Python Programming: Develop and maintain Python-based machine learning models and workflows.
- Knowledgeable in API Integration: Integrate APIs across various platforms, including REST APIs.
- Experience in Crafting Serverless Workflows: Develop serverless workflows on Azure, AWS, or GCP, and establish CI/CD pipelines using Jenkins, Azure DevOps, or GitHub Actions.
- Skilled in Developing Data Transformation Pipelines: Utilize SQL and NoSQL databases to develop data transformation pipelines, and establish ML Ops workflows in Azure ML, SageMaker, or Vertex AI.
- Committed to Test-Driven Development: Maintain clean code standards, ensure thorough documentation, and adhere to agile development methodologies.
- Prior Involvement in NLP Application Development: Advantageous to have prior experience in NLP application development.
- Capable of Conveying Complex Technical Concepts: Communicate complex technical and analytical concepts to a broad audience.
- Familiar with Agile Development Methodologies: Adhere to agile development methodologies and estimate project costs and development timelines.
We offer a comprehensive benefits package, including competitive compensation, opportunities for professional growth and development, and a collaborative work environment. If you are a motivated and experienced Machine Learning Engineer looking to join a dynamic team, please submit your application.
