Engineer (ML) - BCG X

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders-empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact.

Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.

BCG X taps into end-to-end tech design & build capabilities, with nearly 3000 experts, delivering solutions that are industrial-grade to sustain deep change across global companies, and partners actively with the digital ecosystem. BCG X solutions & software are tech-agnostic. BCG X is a force multiplier for BCG functional/sector expertise to build and scale disruptive high-impact software-enabled business solutions.

Practice Area Profile

What You'll Do

Build technology stack for AI/ML use cases from concept to production deployment.
Build data pipelines, ingestion of structured & structured data for model training.
Create Generative AI pipelines & technology stack e.g., orchestration, prompt engineering,fine tuning etc.
Deploy AI/ML models into production and build API layer for application integration.

What You'll Bring (Experience & Qualifications)

Very high proficiency in Python programming language, knowledge of other languages.
such as R, Java would be a plus.
Knowledge of various AI/ML models including deep learning models.
Knowledge of Generative AI stack - Large Language Models / Foundation Models, vector databases, orchestration stack.
Hand on experience in building AI orchestration with frameworks like LangChain.
Knowledge of vector databases e.g., Pinecone, Chroma etc.
Deep understanding of data processing frameworks e.g., Data Bricks, Airflow etc.
Knowledge of API frameworks Django, Flask etc.
* Understanding of cloud data & AI stack on AWS / Azure / GCP is preferred.