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The Senior AI/ML Engineer will develop and deploy AI agents and LLM-based solutions to automate payment processes and improve anomaly detection within the Global Payments Technology team. The role involves end-to-end model lifecycle management, from data preprocessing to production monitoring.
Senior ML Engineer designing, implementing, and supporting AI/ML solutions and scalable ML infrastructure on GCP, using Python with frameworks like TensorFlow/PyTorch/LangChain, Docker, Terraform, and ML orchestration tools.
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
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…
The Senior Computer Vision Engineer will own the development of real-time 3D object tracking for AR tablets used in structural steel fabrication. The role involves building and optimizing C++ vision pipelines for iOS to lock CAD models onto physical steel structures in shop-floor environments.
Senior Research Engineer bridging experimental ML research and production systems, implementing and optimizing deep learning architectures in PyTorch to support AI-driven drug discovery and RNA biology at Deep Genomics.
We’re looking for best in class engineers to join our existing top-notch team. When you join Untether AI, you will be part of a team that designs, develops and verifies the software that interacts with our chip,…
The Senior Machine Learning Engineer will design, develop, and deploy NLP and LLM-based solutions into production environments. The role involves architecting scalable ML pipelines and collaborating with cross-functional teams to integrate AI models into the company's geospatial platforms.
Realtech Services is seeking a Senior Python Backend Engineer to design and build scalable backend services for AI/ML and agentic systems. The role involves working with Django, PostgreSQL, and AWS in a distributed systems environment.
The Senior Backend Engineer will develop distributed Parameter Server systems for large-scale machine learning training and inference, focusing on high-performance C++ development to support e-commerce recommendation and advertising algorithms.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
Leads a team of ML and Software Engineers to build and maintain PayJoy’s end-to-end ML ecosystem, including feature stores, model serving, and ETL/feature architecture, bridging business strategy and technical execution.
This role involves leading scientific and machine learning development for hydrology-aware climate modeling within an environmental platform. The scientist will work with large-scale climate datasets and Python-based ML frameworks to build reproducible, physically-informed prediction systems.
The Machine Learning Scientist will build AI models and agentic workflows to analyze complex biological data, including genomics and single-cell datasets, to drive therapeutic discovery. The role involves developing deep learning systems and foundation models to map relationships between genotype, cell state, and disease mechanisms.
Develops AI-driven molecular models to advance drug discovery by linking quantum chemistry, reactivity data, and generative design for covalent drug targets, collaborating with chemistry and biology teams.
About the Role: We are looking for a highly adaptable Machine Learning Engineer to bridge the gap between ML research and live production. In this role, you will own the end-to-end inference and deployment lifecycle,…
Build and deploy ML models to predict vehicle demand across 150k scooters in 100+ cities, owning end-to-end AI projects and improving Voi’s MLOps platform.
Зарплата: от 337500 RUR (до вычета налогов)
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