Data Engineer- Customer Recommender

METRO/MAKRO; Pune District; Sur place; INR 3 000 000 - 6 000 000; Plein temps

Résumé du poste

Metro Global Solution Center (MGSC) is an internal partner for METRO with locations in Pune, Düsseldorf and Szczecin. The role leads ML projects, mentors engineers, and drives MLOps practices across production pipelines on GCP.

You will design end-to-end ML workflows, deploy models, monitor performance and privacy, and collaborate with product teams to deliver ML-powered solutions for Metro’s internal and external customers.

Qualifications

• 8 years of hands-on experience in building and deploying ML models in production.
• Strong technical background and experience with BI and modern reporting tools.
• Proven experience in leading or mentoring technical teams.
• Proficiency in Python, Go and ML frameworks.
• Strong understanding of MLOps, CI/CD, model versioning and monitoring.
• Data transformation skills with tools like dbt.
• Experience with GCP services such as Cloud Run, Kubernetes, BigQuery and Vertex AI.
• Excellent API development and testing capabilities.
• Ability to explain technical concepts to non-technical stakeholders.
• Leadership qualities to guide projects and teams.

Responsabilités

• Take ownership of the technical direction and execution of ML projects within the Data Science team.
• Mentor and support junior engineers and data scientists to grow.
• Establish best practices for software design, architecture and MLOps.
• Design and optimize end-to-end ML pipelines for training, testing and production deployment.
• Ensure seamless deployment of ML models and implement monitoring for performance and drift.
• Collaborate with data scientists to productionize experimental models.
• Work with other software/data engineers and product teams to deliver ML products.
• Scale ML infrastructure on GCP and ensure data privacy.

Connaissances

Python

Go

ML frameworks

MLOps

CI/CD pipelines

API development

Data transformation (dbt)

Kubernetes

BigQuery

Vertex AI

GCP services

Outils

dbt

Kubernetes

BigQuery

Vertex AI

Cloud Run

Description du poste

Metro Global Solution Center (MGSC)is internal solution partner for METRO, a €31 Billion international wholesaler with operations in more than 30 countries. The store network comprises a total of 623 stores in 21 countries, of which 522 offer out-of-store delivery (OOS), and 94 dedicated depots. In 12 countries, METRO runs only the delivery business by its delivery companies (Food Service Distribution, FSD).

HoReCa and Traders are core customer groups of METRO. The HoReCa section includes hotels, restaurants, catering companies as well as bars, cafés and canteen operators. The Traders section includes small grocery stores and kiosks. The majority of all customer groups are small and medium-sized enterprises as well as sole traders. METRO helps them manage their business challenges more effectively.

MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow’s standards for customer focus, digital solutions, and sustainable business models. For over 10 years, we have been providing services and solutions from our two locations in Pune and Szczecin. This has allowed us to gain extensive experience in how we can best serve our internal customers with high quality and passion. We believe that we can add value, drive efficiency, and satisfy our customers.

Job Description

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.

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.