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Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
Build and deploy AI agents to automate physical engineering workflows (e.g., CAD, design specs) for infrastructure projects, accelerating tasks like data-center and energy-installation planning from weeks to hours. Own end-to-end features, from data ingestion to trusted outputs, while collaborating with domain experts.
Role As our Agentic AI Engineer, you will build the intelligence layer that sits on top of our knowledge graph: the part of APAS that turns structured regulatory and operational data into deterministic, citation-backed…
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Senior Computer Vision Engineer builds and deploys AI models for object detection, image segmentation, and video analysis using PyTorch/TensorFlow, while considering real-world hardware constraints.
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
Build and deploy AI models end-to-end, from data pipelines to production, using Python and frameworks like TensorFlow or PyTorch.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Build and deploy real-time Vision AI models and pipelines for industrial automation, using Python, OpenCV, and PyTorch on edge devices like Nvidia Jetson.
About Linque Linque is an industrial intelligence company that bridges IT, OT, and AI to help critical industries modernize with clarity, control, and confidence. Linque exists to bridge legacy systems with intelligent…
The software developer will research, implement, and maintain Keyword Spotting (KWS) solutions using neural networks within a hybrid work environment. The role focuses on deep learning and machine learning development using Python, TensorFlow, or PyTorch.
Deploys and integrates Google’s generative AI systems (e.g., Gemini, Vertex AI) into enterprise environments, resolving integration/data/state issues to ensure production-grade AI workflows. Bridges customer needs with Google Cloud’s product roadmap via field insights and best-practice collaboration.
En Flux IT diseñamos tecnología para empresas que quieren crecer, y lo hacemos desde una comunidad que se impulsa a mejorar cada día más. Somos más de 300 fluxers que hacemos equipo para acompañar la evolución digital…
Разработка и внедрение LLM-агентов для преобразования истории операций в интерактивную, натурально-языковую аналитику с автоматическими тегами и персонализированными инсайтами. Используются GigaChat, Finetuning, RAG-системы и классическое ML для анализа транзакций.
This role involves designing, training, and validating machine learning and deep learning models and deploying them into production environments. The position is hybrid, requiring approximately two days of on-site work per month in Barcelona.
Leads AI/Data Science teams, designs analytical strategies, and implements advanced generative AI solutions using Python, TensorFlow/PyTorch, and cloud platforms.
Lead the MLOps and ML infrastructure for a global recommender system, owning deployment, scalability, and production monitoring using AWS SageMaker, Python, and MLflow.
IBM is seeking a Data Scientist to architect and deliver AI solutions, focusing on foundation models, large language models, and cognitive computing. The role involves managing the full AI project lifecycle using Python, various AI frameworks, and cloud platforms to solve complex business problems.
Senior AI & Data Scientist builds, deploys, and evaluates ML models end-to-end, from forecasting to LLM fine-tuning, while mentoring junior team members and translating technical results for clients.
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