Data Engineer Lead at METRO/MAKRO

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, MLOps, Python, Go, Data Transformation, GCP, API Development, Automated Testing, Problem Solving, Team Collaboration, Leadership, Model Optimization, Data Privacy, Ethical AI, Monitoring Solutions, Software Design

Industry

Wholesale

Description

Company Description Metro Global Solution Center (MGSC) is internal solution partner for METRO, a €31.6 Billion international wholesaler with operations in 32 countries through 625 stores & a team of 85,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries. MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, Branding, 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. Website: https://www.metro-gsc.in Company Size: 950-1000 Headquarters: Pune, Maharashtra, India Type: Privately Held Inception: 2011 Job Description Key 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 Education Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience. Work Experience & Skills 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); Additional Information Nice-to-Have Understanding of ethical AI, bias mitigation, and data privacy principles.

Responsibilities

The Data Engineer Lead will take ownership of the technical direction and execution of machine learning projects, mentoring junior engineers and data scientists. They will design and optimize machine learning pipelines and ensure seamless deployment of models in production environments.