Data Engineer- Customer Recommender

Your Responsibilities:  

• Take ownership of the technical direction and execution of machine learning projects within the Data Science team; 
• Mentor and support junior engineers and data scientists enabling their growth and success;
• Establish best practices for software design architecture and MLOps;
• Design and optimize end-to-end machine learning pipelines for training testing and deployment in production environments;
• Ensure seamless deployment of machine learning models and implement monitoring solutions to track performance accuracy and drift over time;
• Collaborate with data scientists to transition experimental models to production-grade solutions;
• Work closely with other software/data engineers and product teams to ensure effective delivery of machine learning products;
• Collaborate with other teams and gather requirements to solve complex customer problems with machine learning;
• Maintain and scale machine learning infrastructure using GCP;
• Implement robust security measures to protect data privacy;
• Create and maintain APIs or other interfaces to deliver machine learning results to internal teams and Metros customers;
• Evaluate emerging machine learning technologies frameworks and trends and introduce improvements to existing workflows.  

Qualifications :

Required key competencies and qualifications: 

• 8 years of hands-on experience in building and deploying machine learning models in production. Strong technical background and current modern BI and reporting technologies; 
• Proven experience in leading or mentoring technical teams;
• Proficiency in Python Go and machine learning frameworks; 
• Strong understanding of MLOps tools and practices including CI/CD pipelines model versioning and monitoring;
• Proficient with data transformation tools (preferable dbt);
• Expertise in GCP services such a Cloud Run Kubernetes BigQuery and VertexAI;
• Solid skills in API development and automated testing;
• Exceptional problem-solving abilities and a proactive team-oriented mindset;
• Strong communication and collaboration skills with the ability to explain technical concepts to non-technical stakeholders;
• Leadership qualities with a track record of driving projects and guiding teams toward success;
• Experience in optimizing models for performance (e.g. inference speed resource usage);
• Understanding of ethical AI bias mitigation and data privacy principles. 

Remote Work :

No

Employment Type :

Full-time