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Build production-grade AI and cloud solutions for aerospace engineering teams, including LLM apps, ML models, and APIs, from architecture to deployment.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
We’re seeking a future team member for the role of Vice President, Production services Infrastructure Support to join our Production team. This role is located in Pune In this role, you’ll make an impact in the…
Senior Data Architect designs and implements scalable lakehouse architectures on Databricks and cloud platforms, leading client engagements in data engineering, analytics, and AI initiatives.
Build and optimize Databricks pipelines in Python and SQL to power AI and analytics for enterprise clients, focusing on scalable cloud data solutions.
Build and deploy AI solutions for national programmes, mentor apprentices, and lead end-to-end ML projects using LLMs, MLOps, and cloud platforms.
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental…
Senior engineer building AI-assisted software workflows, reviewing AI-generated code, and translating business specs into testable requirements using C#, .NET, and PostgreSQL.
Build and scale foundational ML systems for global money movement, fraud detection, and customer-facing features using Python, PyTorch, and cloud platforms.
Design and build Azure Lakehouse architectures with Databricks, ADLS Gen2, Synapse, and Data Factory, and implement scalable ETL/ELT pipelines using Spark, Delta Lake, Python, SQL, and Scala.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Role Overview: We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be…
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build and deploy AI-powered applications and data pipelines under mentorship, working with cloud platforms, Python, and modern AI frameworks to solve business challenges.
Lead Chewy’s Ads Data Science team to build AI-powered ranking, bidding, and optimization systems for onsite and offsite ads, shaping the future of retail media with LLMs and generative AI.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Lead AI/GenAI strategy and delivery, designing scalable solutions like chatbots and copilots while guiding cross-functional teams and setting enterprise standards for responsible AI use.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
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