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Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Leads hands-on Developer Relations for India's AI Labs, helping researchers and teams adopt NVIDIA platforms for model development, training, optimization, deployment, and production inference; core technologies include NVIDIA AI tools like NIM, Triton, CUDA, and TensorRT.
Builds and deploys AI/ML and GenAI systems for healthcare, focusing on scalable data pipelines, model serving, and advanced GenAI patterns to solve health-related problems across Asia.
Develops AI/ML-driven analytics and data pipelines to strengthen IAM controls, governance, and risk reduction in fintech. Focuses on access anomaly detection, entitlement mining, and control effectiveness using Python, R, SQL, Neo4j, and Tableau.
Build and deploy predictive/prescriptive analytics models to drive healthcare decisions, using Python, SQL, and ML in a production environment.
Build and deploy AI models (LLMs, NLP, computer vision) for insurance use cases using Python, TensorFlow/PyTorch, and cloud platforms like Azure.
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
Leads technical development of a DoD data platform for DISA’s DISN network, designing data lakes/lakehouses, pipelines, and AI-driven observability tools to enable predictive analytics, automation, and mission resilience.
Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we…
The Senior Data Scientist will build and deploy commercial machine learning models, such as churn prediction and propensity modeling, to drive revenue and customer retention. The role involves end-to-end model lifecycle management using Python, SQL, and AWS within a hybrid work environment.
The Lead Data Scientist will design, implement, and deploy advanced machine learning, generative AI, and agentic AI solutions to address complex healthcare business challenges. This role involves leading technical strategy, mentoring data scientists, and ensuring scalable, governed AI products are successfully integrated into production environments.
The Data Scientist Consultant will analyze complex, unstructured data to build and deploy machine learning models and AI-driven solutions for clients. The role focuses on leveraging Python, SQL, and modern AI frameworks like LLMs and RAG patterns to create actionable business insights.
Senior Analyst on the Data Analytics and AI Operations team responsible for operating, monitoring, troubleshooting, and improving enterprise data and analytics platforms using Databricks, Snowflake, Azure Data Factory, Python, SQL, Power BI, and MicroStrategy.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Build automated analytics and AI solutions to improve healthcare outcomes, using machine learning, NLP, and predictive modeling across complex datasets.
The Senior Data Scientist will develop and deploy automated analytics products, including machine learning and generative AI models, to solve complex business problems in the healthcare sector. The role involves end-to-end data science workflows, from data preparation to production deployment, while ensuring model governance and responsible AI practices.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
The Senior Staff AI/ML Engineer will lead the architecture and operational strategy for Abbott's medical device AI platforms, bridging data science and production engineering. The role focuses on building scalable MLOps infrastructure, ensuring regulatory compliance, and mentoring teams to deploy clinical-grade AI solutions.
The Senior Data/AI Engineer will build and optimize scalable data pipelines and AI infrastructure to support commercial credit decisioning and risk modeling. This role involves working with cross-functional teams to implement MLOps and DataOps practices while ensuring high-quality, governed datasets for AI applications.
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