What You'll Do

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Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

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Our AI Software Engineers and Senior AI Software Engineers are part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.

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We are looking for dedicated individuals with a passion for software development, large-scale data analytics and redefining organizations into AI led innovative companies. Successful candidates possess the following:

· Apply software development practices and standards to develop robust and maintainable software

· Actively involved in every part of the software development process

· Experienced at guiding non-technical teams and consultants in and best practices for robust software development

· Optimize and enhance computational efficiency of algorithms and software design

· Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases

· Enjoy collaborating in teams to share software design and solution ideas

· A natural problem-solver and intellectually curious across a breadth of industries and topics

. Fluency in English and Spanish is required

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What You'll Bring

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REQUIREMENTS:

Master’s or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field

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TECHNOLOGIES:

• Programming: Python, Java/Scala
• Frameworks/Libraries: TensorFlow, PyTorch, Scikit-learn, Keras
• Data Processing: NumPy, Pandas, Apache Spark, Dask
• Cloud Platforms: AWS (SageMaker, EC2), GCP (AI Platform), Azure (ML Studio)
• DevOps: Docker, Kubernetes, Terraform, Jenkins
• Data Visualization: Matplotlib, Seaborn, Plotly/Dash, Tableau
• Tools: Jupyter Notebooks, Google Colab, Git (GitHub/GitLab), MLflow, TensorBoard
• Deployment: Flask, FastAPI, TensorFlow Serving, Streamlit

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