Job
Description
Your Role
Drive the strategic vision for AI/ML initiatives and align them with the companys broader AI roadmap.Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions.Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders.Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications.Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends.
Your Profile
Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment.Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop.Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure).Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery.Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies.
What You Will Love Working at Capgemini
Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure).Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices.Clear career progression paths from engineering roles to architecture and consulting.Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.