Associate - Consumer Products

Role Overview: Bain & Company is a global consultancy firm that helps ambitious change makers define the future by achieving extraordinary results, outperforming competition, and redefining industries. The Consumer Products Center of Expertise collaborates with Bains global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bains proprietary CP products and solutions. As an Associate, 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. Your responsibilities will include collaborating with data scientists, developing front-end interfaces for AI and data science applications, building and integrating machine learning models, translating business problems into technical solutions, assisting in the design of data pipelines, leveraging containerization tools, deploying applications on cloud platforms, contributing to internal AI/ML Ops platforms, and creating dashboards and visualizations to drive business insights. Key Responsibilities: - Collaborate with data scientists to design, fine-tune, and deploy intelligent agents and chains-based applications. - Develop and maintain front-end interfaces for AI and data science applications using React.js / Angular / Nextjs and/or Streamlit/ DASH. - Build and integrate Python-based machine learning models with backend systems via RESTful APIs using frameworks like FastAPI / Flask or Django. - Translate complex business problems into scalable technical solutions, integrating AI capabilities with robust backend and frontend systems. - Assist in the design and implementation of scalable data pipelines and ETL workflows using DBT, PySpark, and SQL. - Leverage containerization tools like Docker and utilize Git for version control. - Deploy ML-powered and data-driven applications on cloud platforms such as AWS or Azure. - Contribute to internal AI/ML Ops platforms and tools for model deployment, monitoring, and lifecycle management. - Create dashboards, visualizations, and presentations using tools like Tableau/ PowerBI, Plotly, and Seaborn. Qualifications Required: - A Masters degree or higher in Computer Science, Data Science, Engineering, or related fields OR Bachelor's candidates with relevant industry experience will also be considered. - Proven experience (2 years for Masters; 3+ years for Bachelors) in AI/ML, software development, and data engineering. - Solid understanding of LLMs, NLP, Generative AI, chains, agents, and model fine-tuning methodologies. - Proficiency in Python, with experience using libraries such as Pandas, Numpy, Plotly, and Seaborn for data manipulation and visualization. - Experience working with modern Python frameworks such as FastAPI for backend API development. - Frontend development skills using HTML, CSS, JavaScript/TypeScript, and modern frameworks like React.js; Streamlit knowledge is a plus. - Strong grasp of data engineering concepts including ETL pipelines, batch processing using DBT and PySpark, and working with relational databases like PostgreSQL, Snowflake etc. - Good working knowledge of cloud infrastructure (AWS and/or Azure) and deployment best practices. - Familiarity with MLOps/AI Ops tools and workflows including CI/CD pipelines, monitoring, and container orchestration (with Docker and Kubernetes). - Good-to-have: Experience in BI tools such as Tableau or PowerBI. - Good-to-have: Prior exposure to consulting projects or CP (Consumer Products) business domain.,