As an Associate - Data ML Engineer at Bain & Company, you will play a crucial role in supporting the global Consumer Products Practice by developing and implementing advanced analytics solutions. You will work with a diverse team comprising of Directors, Managers, Project Leads, Associates, and Analysts to deliver cloud-based end-to-end solutions for strategic questions related to brand strategy, revenue growth management, negotiation strategy, and optimization within the Consumer Products domain. **Role Overview:**
You will be responsible for building and maintaining scalable data pipelines, developing machine learning models, designing backend APIs, and creating frontend applications to enable business users to interact with data and models efficiently. Your role will involve collaborating with data scientists to deploy models in production systems, working with large-scale datasets across cloud-based platforms, and implementing best practices in software engineering. Additionally, you will be translating business requirements into technical solutions and supporting stakeholders with data-driven tools and insights. **Key Responsibilities:**
Build and maintain scalable data pipelines and data processing workflows
Develop and deploy machine learning models into production systems
Design and implement backend APIs to serve data products and ML outputs
Develop lightweight frontend applications, dashboards, or interfaces
Collaborate with data scientists to integrate models into end-to-end solutions
Work with large-scale datasets across cloud-based platforms and warehouses
Implement best practices in software engineering, testing, and version control
Utilize containerization (Docker) and CI/CD pipelines for efficient deployment
Optimize performance of data pipelines, APIs, and user-facing applications
Translate business requirements into technical solutions and support stakeholders
**Qualification Required:**
Bachelor's or Master's 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
Experience with machine learning model integration and deployment
Proficiency in developing backend APIs using frameworks like FastAPI, Flask, or Django
Exposure to frontend technologies such as React, NextJs
Familiarity with cloud platforms (AWS/Azure/GCP) and modern data architectures
Understanding of CI/CD pipelines, Docker, and version control (Git)
Knowledge of data modeling, ETL processes, and scalable system design
At Bain & Company, you will have the opportunity to work on challenging problems, brainstorm ideas with peers and managers, and contribute to a culture of continuous learning and innovation. Your excellent coding skills and willingness to write modular, reusable, and functional code will be key to your success in this role. As an Associate - Data ML Engineer at Bain & Company, you will play a crucial role in supporting the global Consumer Products Practice by developing and implementing advanced analytics solutions. You will work with a diverse team comprising of Directors, Managers, Project Leads, Associates, and Analysts to deliver cloud-based end-to-end solutions for strategic questions related to brand strategy, revenue growth management, negotiation strategy, and optimization within the Consumer Products domain. **Role Overview:**
You will be responsible for building and maintaining scalable data pipelines, developing machine learning models, designing backend APIs, and creating frontend applications to enable business users to interact with data and models efficiently. Your role will involve collaborating with data scientists to deploy models in production systems, working with large-scale datasets across cloud-based platforms, and implementing best practices in software engineering. Additionally, you will be translating business requirements into technical solutions and supporting stakeholders with data-driven tools and insights. **Key Responsibilities:**
Build and maintain scalable data pipelines and data processing workflows
Develop and deploy machine learning models into production systems
Design and implement backend APIs to serve data products and ML outputs
Develop lightweight frontend applications, dashboards, or interfaces
Collaborate with data scientists to integrate models into end-to-end solutions
Work with large-scale datasets across cloud-based platforms and warehouses
Implement best practices in software engineering, testing, and version control
Utilize containerization (Docker) and CI/CD pipelines for efficient deployment
Optimize performance of data pipelines, APIs, and user-facing applications
Translate business requirements into technical solutions and support stakeholders
**Qualification Required:**
Bachelor's or Master's degree in Computer Science, Engineeri
