Data Lead Engineer

1 week ago

Pune Maharashtra, India METRO Global Solutions Center Full time

Company Description Metro Global Solution Center MGSC is internal solution partner for METRO a EUR31 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 Dusseldorf 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 Company Size 950-1000 Headquarters Pune Maharashtra India Type Privately Held Inception 2011 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

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