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Data Engineer- Customer Recommender

Pune, Maharashtra, India

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Apply at Metro Inc.

What you’ll work on

Full posting
  • Mentor and support junior engineers and data scientists, enabling their growth and success;

  • 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;

From the employer’s posting
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;
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;
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;

What you’ll bring

All qualifications

Core experience

  • 8 years of hands-on experience in building and deploying machine learning models in production.
  • 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;
Qualification wording
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;

Tools in this posting

  • Go
  • Python
  • BigQuery
  • Google Cloud (GCP)
  • Kubernetes
  • dbt
Source — Tool mentions in context
- 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;
- 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;

Job description

View original posting ↗

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. 

Company Description

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

Pune, Maharashtra, India

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Status in our records
Active
First seen by us
Oct 5, 2026
Recorded sightings
12
Last seen by us
Oct 6, 2026
Employer says posted
Sep 29, 2026

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