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The MLOps Lead Engineer will design and automate end-to-end machine learning production lifecycles on the Databricks Lakehouse platform. This role involves leading technical implementations, managing CI/CD/CT pipelines, and providing governance and upskilling for client-side engineering teams.
The Solution Architect will design and implement scalable multi-cloud and Generative AI solutions for clients, bridging business requirements with technical execution. The role focuses on AWS, Azure, and GCP environments, utilizing LLMOps, RAG, and agentic AI frameworks to deliver production-grade platforms.
Designs and delivers multi-cloud, AI-driven enterprise solutions (GenAI/Agentic AI, RAG, LLMOps) for clients, leading architecture, POCs, and technical delivery across AWS/Azure/GCP.
The Databricks Data Engineer will design and implement scalable ETL/ELT pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role requires deep expertise in the Databricks ecosystem, including Spark, Delta Lake, and Unity Catalog, to build robust, secure, and governed data solutions.
The Databricks Data Engineer will design and implement scalable data pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role involves working with the Databricks platform, cloud-native environments, and ETL/ELT workflows to deliver robust, secure data solutions.
Establish MLOps practices and productionize machine learning models within the Databricks ecosystem, defining how models are built, tracked, deployed, and monitored in collaboration with data science teams.
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.
Pre-sales Senior Solutions Architect at Dell Brazil helping enterprise customers design and adopt modern data, analytics, and AI solutions—including data warehouses, lakehouses, GenAI, and RAG—through discovery, architecture, demos, and POCs.
Data Engineer/Scientist building ETL pipelines and infrastructure to support AI/ML and LLM solutions, using Python (Pandas, NumPy), PySpark/Spark or Temporal.io, and version control on-site in King of Prussia, PA.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) by designing Python microservices, APIs, and cloud-integrated systems for Thermo Fisher’s scientific and healthcare applications.
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.
Role: MCP Server Engineer Experience: 5+ Years Location: Gurgaon OR Bangalore Work Mode: Work From Office [5 Days Office] ROLES AND RESPONSIBILITIES: • Design, build, and maintain secure connectors and pipelines…
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…
Senior Data & AI Solutions Architect Os profissionais de vendas de campo dependem de suporte técnico proativo durante o processo comercial, e nossa equipe especializada de Engenharia de Sistemas está sempre à…
Develops and maintains REST APIs, front-end applications (React/TypeScript/Next.js), and AI-driven systems (LLMops, LangChain) while integrating cloud platforms like Azure and ensuring system reliability through testing and troubleshooting.
Senior API Software Developer onsite in Toronto for the Ontario Ministry of Public and Business Service Delivery, designing and building scalable REST API platforms and AI-enabled applications using React, TypeScript, Node.js, Next.js, Azure, Python, and Agentic AI/LLMOps technologies.
Design and deploy AI architectures for insurance pricing, integrating LLMs and agentic workflows to automate tariff analysis and simulations for Allianz’s Global P&C team.
ML Engineer evaluating and optimizing Foundation Models and generative AI systems for Apple Media Services, building evaluation frameworks and MLOps pipelines using Python, PyTorch, and LLM tooling.
Senior AI Engineer designing, building, and operating ML/AI systems for real-time space domain awareness, using Python, ML frameworks, SQL, and Databricks/Spark on large-scale sensor and orbital datasets.
Build and scale the infrastructure that runs data pipelines and AI/ML models in production, using AWS, Kubernetes, and MLOps tooling to ensure reliability and performance.
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