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Builds and deploys AI agents and digital workers using LLMs, RAG, and enterprise tools to automate workflows and improve productivity in real-world business environments.
The Staff Software Engineer – Chapter Lead will lead a team of senior engineers to build and scale production-grade Generative AI solutions, including RAG and agentic workflows, within a financial services environment. This hands-on role focuses on driving the AI technology roadmap, establishing MLOps standards, and ensuring the reliability and security of AI systems.
Build and deploy PyTorch-based ML models to predict marketing effectiveness for large advertisers, working with text, image, and video data in a product-focused team.
Leads MLOps infrastructure and AI projects for a manufacturing innovation center, coordinating teams to deploy scalable machine learning pipelines and cloud-native tools like Kubernetes and AWS.
Role \: AIML Data Science Location\: Pan India Experience\: 6 to 15 Years Notice Period\: Immediate to 90 days Mode of Interview\: In Person Job Description\: 1. Be a hands on problem solver with consultative approach,…
Senior AI Solutions Engineer designing, prototyping, and deploying LLM-based AI solutions integrated with enterprise systems, building data pipelines, and managing cloud (Azure/AWS/GCP) AI infrastructure using Python and MLOps practices.
Builds and deploys generative AI/autonomous agent systems (LLMs, GANs, RAG) to optimize Maersk’s supply chain processes, focusing on NLP, multimodal AI, and agentic architectures for real-world automation.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
The Data Engineering Lead will manage offshore and UK-based teams to design and deliver AI, data automation, and analytics solutions for a global FTSE100 company. The role involves owning the data roadmap, implementing AI frameworks, and driving the adoption of centralized data and AI systems across the organization.
Design, build, and deploy production LLM-powered applications, multi-agent workflows, and autonomous AI systems using Python, LangChain/LangGraph, and Azure cloud infrastructure in a hybrid London role.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
The Senior Data Scientist will develop and deploy advanced AI and machine learning models to solve complex banking challenges within the Chief Data & AI Office. This role involves collaborating with cross-functional teams to deliver impactful analytics solutions while ensuring model governance and responsible AI practices.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
The Compensation & Benefits Analyst will manage regional reward practices across EMEA, including merit reviews, bonus processes, and market benchmarking. The role requires strong data analysis skills and proficiency in Excel to support HR governance and compensation strategy.
Build and lead GenAI and voice agents for medical devices, balancing model quality with on-device constraints while ensuring safety and regulatory compliance.
The Machine Learning Associate Analyst will develop and support AI/ML models and agentic workflows to improve healthcare outcomes. The role involves data preprocessing, model evaluation, and integrating AI solutions using Python and orchestration frameworks like LangChain.
This role involves architecting and building high-performance data pipelines and intelligent APIs to process massive-scale market risk analytics. The developer will work with Apache Spark, OLAP engines, and NLP to provide actionable insights for senior stakeholders in the financial sector.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
The Data Scientist will partner with business units to solve complex problems by building AI agents, machine learning models, and data pipelines. The role utilizes tools like Google Looker, BigQuery, and the Gemini Enterprise Agent Platform to deliver actionable insights.
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