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Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
The Pre-Sales Engineer acts as a technical bridge between TD SYNNEX and its partners, designing data, analytics, and AI/GenAI solutions. The role involves conducting technical discovery, building architectures, executing POCs, and supporting the sales process for complex data ecosystems.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
Designs secure, compliant AI ecosystems for Bank of America, establishing controls for governance, explainability, bias detection, and auditability across enterprise AI platforms.
Operate and maintain Databricks and Dataiku platforms, moving data-science projects into production and keeping ML pipelines healthy for humanitarian services.
Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety,…
Staff Data Scientist leading homeowners insurance pricing and risk modeling at Porch Group, building and deploying GLM and ML models (Python, SQL, BigQuery/GCP) for underwriting, profitability, and retention.
Lead Enterprise Cloud Software Developer building and integrating Python-based full-stack enterprise cloud services on Azure/AWS, with IaC (Terraform), CI/CD, and LLM/AI integration responsibilities, while mentoring an engineering team at Wolters Kluwer.
Leads DevOps for analytics/data/AI platforms, ensuring scalable, secure, and cost-effective cloud operations with CI/CD, IaC, and SRE practices.
Senior ML Engineer at Criteo AI Lab in Paris designing, developing, and deploying large-scale recommendation and prediction systems for the advertising platform using Python, PyTorch, and distributed training infrastructure.
Lead the modeling strategy and analytic architecture for telemetry and log analytics at Dell, focusing on time-series and event-based data across batch and streaming systems. Design models for anomaly detection, forecasting, and NLP on unstructured logs using Python, SQL, and observability ecosystems.
Build and evaluate ML models for NASA research projects, create reproducible data pipelines, and prototype tools for predictive analytics and decision support in a research environment.
Designs and deploys enterprise AI/ML solutions (Generative AI, LLMs, RAG) on AWS, focusing on scalable, production-grade architectures and MLOps/LLMOps pipelines for Unum’s income protection business.
Lead the design and delivery of production-grade Generative AI and LLM platforms at HPE, covering architecture, fine-tuning, RAG, and multi-tenant distributed systems using Python, Golang, AWS, and frameworks like LangChain and PyTorch.
Principal Engineer at HPE architecting and building production-grade Generative AI and LLM platforms using Python, Golang, AWS, and AI/ML frameworks like LangChain and PyTorch in a hybrid role in San Juan, Puerto Rico.
The Lead AI Engineer will design, build, and scale production-grade AI and Generative AI solutions within the insurance platform using AWS services. This hands-on role focuses on operationalizing AI models, developing RAG pipelines, and implementing MLOps practices in a regulated environment.
The Lead Data Engineer will lead complex data engineering projects, building AI-enabled data platforms and pipelines on AWS for diverse clients. The role involves managing teams, mentoring junior staff, and implementing data foundations for machine learning and Generative AI solutions.
The AI Architect leads the design and delivery of enterprise-scale AI, Generative AI, and Agentic AI solutions on the Azure platform. This role involves defining AI roadmaps, architecting intelligent systems, and guiding multidisciplinary teams to drive business value for clients.
The Director of Enterprise AI Platform Engineering will lead a team to build and operate the core infrastructure governing AI workloads, including AI gateways, policy engines, and observability tools. This role focuses on creating a secure, scalable, and compliant platform that enables enterprise-wide AI adoption.
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