METRO

Data Engineer- Customer Recommender

Pune, Maharashtra, India · On-site · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

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 Metro’s customers;
Evaluate emerging machine learning technologies, frameworks, and trends, and introduce improvements to existing workflows.

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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.

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