ML Engineer

Key Skills

3D data processing, Aartificial intelligence, Apache Airflow, API, AWS, Azure, Databricks, Deep Learning, Django, Flask, Generative AI, Google Cloud Platform (GCP), Java Programming, LangChain, Large Language Models - LLMs, Machine learning techniques, Python Programming, R Programming

Job Description

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.