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Lead AI/ML Engineer - Generative AI
Role Overview : We are looking for a Lead AI/ML Engineer to design, develop, and deploy scalable AI solutions. The candidate will lead AI projects, mentor teams, and work on production-grade Generative AI, LLM, RAG, AI…
AI/ ML Engineer
Entry-level (0-1 years) AI/ML engineer at Rapyder, an AWS Advanced Consulting Partner in Bangalore, designing and deploying end-to-end ML and data platform solutions on AWS services such as SageMaker, Athena, Glue, Lambda, S3, and Kinesis. Hands-on Python is a must; AWS certifications raise the fixed salary.
Lead AI/ML Applied Scientist - Remote
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
Engineering Lead ( AI/ML, Gen AI)
‒ Design and build AI solutions across a range of business problems, choosing the right approach for each: document and image extraction or classification, predictive models, workflow automation, LLM-based agents and…
AI/ML Lead - Healthcare Domain
About the Role: As the AI/ML Lead, you will spearhead the design, development, and production deployment of AI-powered solutions across our healthcare ecosystem. You will drive the company's AI strategy by building…
Lead, Geospatial Artificial Intelligence and Machine Learning
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer,…
Lead, Geospatial Artificial Intelligence and Machine Learning
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer,…
ML Engineer
Builds and operationalizes deep learning systems that estimate forest structure metrics from satellite/lidar data, fine-tuning geospatial foundation models and integrating them into automated pipelines. Core stack: Python, PyTorch, Airflow, STAC, Docker, and AWS in a remote-first, climate-focused team.
Associate Lead Engineer - AI/ML
Associate Lead - AI/ML Engineer Are you passionate about building production-grade AI/ML solutions, Semantic Search, RAG Systems, LLMs, and Intelligent Recommendation Engines? We are looking for a talented Associate…
Associate Lead/AI/ML Engineer - Python/NLP
Roles & Responsibilities : - Contribute to the development and optimization of enterprise-wide search systems and models. - Design and implement algorithms to improve indexing, query relevance, and search accuracy. -…
Technical Lead - AI/ML & Generative AI
Key Responsibilities : - Lead the design and development of AI/ML and intelligent automation solutions. - Provide technical leadership, mentoring, and guidance to AI engineers and developers. - Conduct architecture…
Lead AI/ML Engineer
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Lead Software Engineer - Machine Learning
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within AI/ML Data Platforms, you are an integral part…
LEAD ENGINEER – AI/ML
Leads design and delivery of scalable AI solutions in Hyderabad (5 days on-site), building LLM/RAG chatbots and GenAI applications with Python, CI/CD, and Azure/AWS cloud, while leading technical initiatives and mentoring teams. Requires 8–12 years of AI/ML experience; budget ₹30 LPA.
Lead Software Engineer - Machine Learning
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within AI/ML Data Platforms, you are an integral part…
Lead Machine Learning Engineer
The Lead Machine Learning Engineer will build and maintain distributed training pipelines, model monitoring systems, and ML frameworks to support digital banking services. The role focuses on scaling machine learning workflows using technologies like Python, PyTorch, TensorFlow, Ray, and Spark.
