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Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
Data Engineer designing and maintaining scalable data pipelines and ETL workflows for AI-driven cybersecurity and analytics platforms, primarily using Python and Elasticsearch.
Senior Backend Engineer building scalable Python APIs and data models for analytics-driven web applications using Python, PostgreSQL, MongoDB, and Docker.
Build, maintain, and optimize back-end systems and web applications using PHP and Python—implementing APIs, integrating databases, and collaborating with design and marketing teams on client projects.
Senior Python backend developer building REST APIs and microservices using FastAPI, Django, and Flask, with hands-on AppDynamics for APM and strong database experience.
Python backend developer building and maintaining AI-enabled automation solutions using Python, REST frameworks (FastAPI/Flask/Django), databases, and LLM APIs for ArcelorMittal's internal digital consulting team.
Design, develop, and maintain backend systems for generative AI and LLMs—building scalable APIs, integrating model inference pipelines, optimizing performance, and managing production deployments using Python/Java/Node.js and cloud platforms.
Builds and maintains internal business apps, APIs, and tools in Python and modern web tech, integrating operational systems with CRM, analytics, and AI platforms.
Develops secure, scalable backend systems for real-time clinical decision-making tools in vascular surgery, primarily handling ultrasound video data and integrating with hospital systems.
This role involves building client-facing web applications that integrate Generative and Agentic AI for the Asset and Wealth Management division. The engineer will use Python and React to develop scalable, secure AI-powered workflows and APIs while ensuring compliance with financial industry standards.
Hands-on Technical Lead Architect (70% building, 30% strategy) for Eli Lilly's Clinical Supply & Delivery platforms — designing agentic AI-enabled architecture, containerized services, cloud infrastructure, and data pipelines on AWS using Python, React, Kafka, Spark, and Kubernetes for clinical trial material delivery.
Mandatory Skills Overall experience of 4+ years using Python with API development and 2+ years of experience in integrating LLM Hands-on experience in developing RESTful APIs and WebSockets using Python frameworks…
Build and maintain Python applications, AI agents, and internal productivity platforms for OCBC Bank in Shenzhen, leveraging AI-assisted development tools like Claude Code and Devin across the full-stack (Python back-end with FastAPI/Django, React/Vue front-end, Docker/Kubernetes).
Senior IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
The Machine Learning Engineer will design, develop, and deploy production-grade AI solutions with a focus on geospatial applications. The role involves architecting scalable ML systems, implementing MLOps best practices, and mentoring team members using Python, PyTorch, and containerization tools.
The AI Engineer will lead the design and deployment of production-grade machine learning solutions, specifically focusing on geospatial applications. The role involves architecting scalable systems, implementing MLOps practices, and mentoring team members using technologies like Python, PyTorch, and Docker.
Data Engineer building and maintaining ETL pipelines, data models, and cloud infrastructure (GCP/AWS/Azure) using Python and SQL for a research firm in Singapore.
AI & Data Science Consultant/Engineer building Generative AI and Agentic AI solutions, performing data science analytics, and providing client consulting and pre-sales support using Python, LLMs, RAG, and enterprise AI platforms.
The Software Engineer will design and develop advanced financial technology solutions using Python, AI/ML, and cloud technologies to support GIC's investment operations. The role involves collaborating with stakeholders to build scalable applications and leading technical excellence within the team.
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