Join BCG X as a Forward Deployed AI Engineer and shape the future of AI solutions. You will be instrumental in the complete analytics value chain, from identifying new business challenges to deploying scalable AI systems. This role offers a unique opportunity to collaborate with clients across diverse industries and regions, focusing on critical areas like climate change.

BCG X is a dynamic environment where over 3,000 tech experts drive innovation. We empower individuals to build groundbreaking businesses and services, leveraging BCG's extensive global network and partnerships. If you're passionate about software development, large-scale data analytics, and transforming organizations into AI-led enterprises, this is your chance to make a significant impact and advance your career.

Take ownership of the entire analytics value chain, including problem framing, algorithm design, and solution implementation. Partner with clients to develop and deploy innovative AI solutions, addressing key challenges across various industries. Contribute to thought leadership through publications and presentations within scientific communities and conferences.

Apply robust software development practices, actively participating in all phases of the development lifecycle. Guide non-technical teams on best practices for software development. Optimize computational efficiency for algorithms and software designs, working in a fast-paced, client-facing environment. Collaborate effectively with team members to share design ideas and solutions.

A Master’s or PhD degree in Computer Science, Data Science, Statistics, Operations Research, or a closely related field is required. Proficiency in programming languages such as Python, Java, and Scala is essential.

Experience with frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, and Keras is necessary. You should be skilled in data processing tools including NumPy, Pandas, Apache Spark, and Dask. Familiarity with cloud platforms like AWS, GCP, and Azure, along with DevOps tools such as Docker, Kubernetes, Terraform, and Jenkins, is expected.

Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and development tools like Jupyter Notebooks and Git is crucial. Experience with deployment tools like Flask, FastAPI, and Streamlit is also required. A strong aptitude for problem-solving and intellectual curiosity across various industries is highly valued.