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Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
Director-level AI Architect at PwC's Data & Analytics Advisory practice in Bengaluru, designing ML pipelines, LLM serving/GPU infrastructure, and LLMOps solutions for clients using cloud platforms and frameworks like MLflow, DeepSpeed, and LangChain.
The Staff Product Software Engineer (ML) will lead the development of prediction and optimization engines for Disney's advertising platforms. The role involves designing scalable AI/ML solutions, mentoring team members, and collaborating across teams to enhance ad serving capabilities using Java, Python, and Scala.
The Data Engineer will design and implement scalable data pipelines, data warehouses, and semantic models to support enterprise analytics in the healthcare domain. The role involves leveraging AWS cloud services, Power BI, and dimensional modeling to ensure data governance and high-performance reporting.
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Senior Data Engineer building data pipelines, ETL jobs, and cloud data platforms (AWS/Azure) for consulting clients, using Python, Terraform, and GitLab.
Build and deploy predictive analytics and machine learning models supporting Marketing, Loyalty, Sales, and Finance at Choice Hotels, using Python/R, SQL, and AWS/SageMaker in a hybrid role based in North Bethesda.
Senior Scientific Data Engineer on Abbott's Cancer Diagnostics R&D data platform, building Python/SQL tools, data pipelines, and AWS-based solutions to help researchers organize, validate, and analyze complex scientific data.
The AI Engineer II will develop and maintain AI/ML systems for Blue Origin's Blue Ring space mobility platform, focusing on multi-agent systems, RAG pipelines, and telemetry anomaly detection. The role involves building intelligent ground systems to support satellite fleet operations using Python, AWS, and various ML frameworks.
The AI Solutions Engineer designs, develops, and deploys AI and LLM solutions to solve business challenges. The role involves optimizing models, managing deployment pipelines, and collaborating with cross-functional teams using tools like Python, PyTorch, TensorFlow, and cloud AI services.
Designs and manages scalable data infrastructure and analytics pipelines for LSEG’s global financial markets infrastructure, leveraging big data tools (Spark, Kafka) and cloud platforms to enable data-driven decision-making and real-time insights.
Building AWS platform foundations—landing zones, multi-account architecture, and IaC with Terraform—for a greenfield AI platform at a FTSE100 investment management firm.
The Applied AI Scientist builds and deploys generative AI and agentic systems to automate regulatory submissions and R&D processes within a GxP-regulated environment. The role focuses on leveraging LLMs, NLP, and Databricks to analyze scientific documentation and improve cycle times for pharmaceutical product development.
The Senior Manager, AI & Data Engineering leads teams in building and operating governed data products and AI-ready platforms to support enterprise analytics and decision-making. This role oversees strategy and execution for cloud-native data ecosystems using AWS technologies to drive business outcomes.
Data Scientist building and maintaining enterprise AI infrastructure—agentic AI frameworks, low-latency LLM inference stacks, and MLOps/DevOps pipelines—primarily on AWS for OCBC Bank in Singapore.
This Senior Software Development Engineer role at Adobe focuses on evolving the deployment platform for Adobe Fonts, managing CI/CD, and building AI-accelerated development tools. The position involves full-stack engineering, infrastructure management, and leading the integration of agentic AI systems into the development lifecycle.
This role focuses on driving the go-to-market strategy for AWS generative AI services, helping customers scale large-scale model training and inference workloads. The position involves cross-functional collaboration to define product features, create technical content, and lead market development initiatives.
OUR VISION EQUS is building the trust infrastructure for personal AI. Our product suite spans a personal AI assistant, a personal data store with per-file, user-controlled access, and a developer toolkit for agent…
SAIC's STG is seeking a talented and motivated Mid-Level Software Developer to join our growing team focused on the design, development, and deployment of a next-generation Agentic AI Platform. In this role, you…
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