At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role - Lead end-to-end AI and Machine Learning initiatives, starting from business problem understanding, data exploration, model development, validation, and final deployment in production environments. - Provide technical leadership to the data science team by reviewing models, guiding architecture decisions, ensuring best practices, and aligning solutions with business objectives. - Design and develop advanced analytics solutions including predictive modeling, NLP applications, clustering, recommendation systems, graph analytics, and optimization techniques to solve complex industry problems. - Build scalable ML pipelines, implement MLOps practices, ensure data security and compliance, and deploy solutions on cloud platforms such as AWS, Azure, or GCP. Your Profile - Around 10+ years of strong experience in Data Science, Machine Learning, and AI solution delivery with proven expertise in handling large-scale projects. - Strong technical proficiency in Python, SQL, ML/DL frameworks (Scikit-Learn, TensorFlow, PyTorch), Big Data tools like Spark, and experience working with cloud environments. - Solid understanding of advanced concepts such as NLP (including Transformers and LLMs), unsupervised learning, graph algorithms, optimization methods, and statistical modeling techniques. - Demonstrated leadership ability with experience in Agile environments, proposal and RFP preparation, POC/MVP development, stakeholder management, and high-impact client communication. What you will love about working here - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role - Developed end-to-end Machine Learning and NLP solutions, including data preprocessing, feature engineering, model training, evaluation, and deployment for business use cases. - Performed exploratory data analysis (EDA) and statistical analysis using Python and SQL to extract insights from structured and unstructured datasets. - Built and optimized machine learning models such as regression, classification, clustering, and ensemble methods to generate predictive insights. - Collaborated with cross-functional teams and stakeholders to translate business requirements into scalable AI/ML solutions and support model deployment. Your profile - Experience in Python (NumPy, Pandas, Matplotlib, Seaborn) and SQL for data analysis, feature engineering, and machine learning development. - Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, and PyTorch. - Knowledge of Natural Language Processing (NLP) techniques and Generative AI concepts, including familiarity with Large Language Models and tools like LangChain. - Experience with data visualization tools such as Tableau or Power BI and exposure to cloud platforms like AWS, Azure, or GCP. What you will love about working here - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

• Use your experience with QGIS to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world GIS and spatial data workflows

• Develop and improve pipelines for collecting, cleaning, processing, and analyzing client ticketing data for analysis and model building. • Build and improve scalable machine learning pipelines, feature engineering, etc. • Create innovative and clear data visualizations. • Reports back on findings and technical decisions to subject matter experts, stakeholders and clients. • Identify areas of improvement and new use cases of our pricing model. • Will show drive and initiative to push the core product and technology forward. • Collaborate with a cross-cutting team of executives, product managers, clients, software engineers, and data scientists.