Senior Data Scientist
Capgemini
Capgemini
Capgemini Invent is seeking inventive transformation consultants who blend strategic, creative, and scientific capabilities. Join us to deliver cutting-edge, data-informed solutions tailored to client challenges, leveraging technology created with purpose.
We focus on driving transformation for today's and tomorrow's business needs, informed and validated by science and data, and superpowered by creativity and design.
Develop and implement advanced ML/NLP models for diverse business use cases. Analyze and preprocess data meticulously, ensuring stringent quality and security compliance. Collaborate effectively with stakeholders to define requirements and deliver impactful solutions. Support the creation of ML assets and foster knowledge sharing within the team.
Assist in the deployment of models via ML pipelines and MLOps practices, utilizing cloud or on-premises environments. Continuously research industry trends to propose innovative AI/ML solutions.
Proficiency in Python (NumPy, Pandas, Matplotlib, Seaborn) and SQL. Experience with RDBMS (MySQL, Oracle) and NoSQL (MongoDB, Cassandra) databases. Expertise in ML/DL frameworks like Scikit-learn, TensorFlow, and PyTorch. Familiarity with Big Data frameworks such as Spark (Spark-ML) and H2O. Basic experience with cloud platforms (Azure/AWS/GCP).
Skills in visualization tools like Tableau and Power BI are essential. Familiarity with Generative AI and LLMs (OpenAI GPT, LLaMA), including experience with frameworks like LangChain for RAG, is required. Experience with predictive modeling techniques including regression, classification, and ensemble methods is crucial.
Capgemini
IT Services and Consulting