Overview

Associate - Data ML Engineer

Responsibilities

• / Build and maintain scalable data pipelines and data processing workflows to support analytics and machine learning use cases.
• / Develop and deploy machine learning models into production systems, ensuring reliability and scalability.
• / Design and implement backend APIs to serve data products and ML outputs to downstream applications.
• / Develop lightweight frontend applications, dashboards, or interfaces to enable business users to interact with data and models.
• / Collaborate with data scientists to productionize models and integrate them into end-to-end solutions.
• / Work with large-scale datasets across cloud-based data platforms and warehouses (e.g., Snowflake, Azure Synapse).
• / Implement best practices in software engineering, including modular code design, testing, and version control.
• / Utilize containerization (Docker) and CI/CD pipelines for efficient deployment and scaling of applications.
• / Optimize performance of data pipelines, APIs, and user-facing applications.
• / Translate business requirements into technical solutions and support stakeholders with data-driven tools and insights.
• / The AS is expected to have a knack for seeking out challenging problems and producing their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code. .

Qualifications

• / Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related technical fields.
• / 2-5 years of experience in data engineering, ML engineering, or full-stack development roles.
• / Strong programming skills in Python and SQL, with experience building data pipelines and backend services.
• / Hands-on experience with machine learning model integration and deployment in production environments.
• / Exposure to frontend technologies (e.g., React, NextJs or similar) to build user-facing applications and dashboards.
• / Familiarity with CI/CD pipelines, Docker, and version control (Git).
• / Understanding of data modeling, ETL processes, and scalable system design.
• / Ability to work across the stackfrom data pipelines to APIs to front-end interfaces.
• / Good-to-have: Proficiency in Excel and PowerPoint with ability to support business communication and storytelling.
• / Good-to-have: Prior exposure to consulting, analytics use cases, or Consumer Products domain.
• Who you will work with
• You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis.