Data Scientist - Artificial Intelligence
Core
Design, develop, and deploy Machine Learning and Generative AI models to address complex business challenges and turn data into business value.
Role type
Senior IC Data Scientist (AI/ML & Generative AI)
Builds
Production AI/ML models, RAG pipelines, and scalable AI applications for enterprise clients
Domain
Enterprise IT services, Artificial Intelligence, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Deep Learning, Generative AI, LLMs, Prompt Engineering, RAG, Feature Engineering, MLOps, Statistical Modeling, Predictive Analytics, Time Series Forecasting, Classification, Regression, Clustering, Recommendation Systems, TensorFlow, PyTorch, Keras, LangChain, LlamaIndex, Vector Databases, Apache Spark, Hadoop, Apache Kafka, Apache Airflow, PostgreSQL, Oracle, SQL Server, MongoDB, IBM Cloud, Azure, AWS, GCP, MLflow, Docker, Kubernetes, Git, Jenkins, Power BI, Tableau
Preferred skills
IBM watsonx platform, NLP, Computer Vision, Explainable AI, Data Governance, REST APIs, microservices, distributed computing, Big Data technologies
Technologies
IBM watsonx.ai, IBM watsonx.data, IBM watsonx.governance, IBM Cloud Pak for Data, IBM Knowledge Catalog, IBM Db2, IBM SPSS Modeler, FAISS, ChromaDB, Pinecone, Matplotlib, Plotly
Responsibilities
Design and implement Generative AI solutions using LLMs and RAG pipelines; Develop and optimize Deep Learning models; Perform data collection, cleansing, preprocessing, and feature engineering; Collaborate with Data Engineers to build scalable AI applications; Deploy and monitor ML models using MLOps best practices; Evaluate and improve model performance using statistical metrics; Develop technical documentation and solution architecture artifacts; Ensure AI solutions comply with data governance and Responsible AI principles.
Seniority
Senior, hands-on IC