Dunnhumby - Engineering Manager - MLOps

Dunnhumby IT Services India Private Limited

Gurgaon/Gurugram

5 - 8 Years

3.9

68+ Reviews

Engineering Management MLOps Docker Kubernetes Python SQL Cloud Infrastructure Redshift CI/CD Pipeline Monitoring Tools

Posted on: 17/12/2025

Job Description

We are seeking a talented Engineering Manager ML Ops expertise to lead a team of engineers in developing product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.

- As an Engineering Manager, you will play a pivotal role in designing and delivering high-quality software solutions.

- You will be responsible for leading a team, mentoring engineers, contributing to system architecture, and ensuring adherence to engineering best practices.

- Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products.

- What you will be doing?

- You will lead the charge in ensuring operational efficiency and delivering high-value solutions.

- Youll mentor and develop a high-performing team of Big Data and MLOps engineers, driving best practices in software development, data management, and model deployment.

- With a focus on robust technical design, youll ensure solutions are secure, scalable, and efficient.

- Your role will involve hands-on development to tackle complex challenges, collaborating across teams to define requirements, and delivering innovative solutions.

- Youll keep stakeholders and senior management informed on progress, risks, and opportunities while staying ahead of advancements in AI/ML technologies and driving their application.

- With an agile mindset, you will overcome challenges and deliver impactful solutions that make a difference.

Technical Expertise :

- Proven experience in microservices architecture, with hands-on knowledge of Docker and Kubernetes for orchestration.

- Proficiency in ML Ops and Machine Learning workflows using tools like Spark.

- Strong command of SQL and PySpark programming.

- Expertise in Big Data solutions such as Spark and Hive, with advanced Spark optimizations and tuning skills.

- Hands-on experience with Big Data orchestrators like Airflow.

- Proficiency in Python programming, particularly with frameworks like FastAPI or equivalent API development tools.

- Experience in data engineering is added advantage.

- Experience in unit testing, code quality assurance, and the use of Git or other version control systems.

Cloud and Infrastructure :

- Practical knowledge of cloud-based data stores, such as Redshift and BigQuery (preferred).

- Experience in cloud solution architecture, especially with GCP and Azure.

- Familiarity with GitLab CI/CD pipelines is a bonus.

Monitoring and Scalability :

- Solid understanding of logging, monitoring, and alerting systems for production-level big data pipelines.

- Prior experience with scalable architectures and distributed processing frameworks.

Soft Skills and Additional Plus Points :

- A collaborative approach to working within cross-functional teams.

- Ability to troubleshoot complex systems and provide innovative solutions.

- Familiarity with GitLab for CI/CD and infrastructure automation tools is an added advantage.