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Build and deploy machine learning systems for real-time applications like anomaly detection and recommendation engines using Python, cloud platforms, and MLOps tools.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the…
TechGrove is the Centre of Excellence for Banyan Software, based in Chennai, India. It plays a key role in supporting Banyan’s global businesses through technology, security, and software development. TechGrove brings…
Team Summary Our distributed team is looking for an experienced Applied Scientist with a strong background in Large Language models to develop high-performance Generative AI features across Cloud and Edge environments.…
PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position…
AI Forward Deployed Engineers at Databricks deliver customer-facing GenAI engagements, building production AI applications using RAG, multi-agent systems, and LLMOps techniques. Day-to-day involves collaborating with customers as a technical advisor, rolling out GenAI solutions, and influencing product roadmap—working with tools like LangChain, HuggingFace, DSPy, and Spark.
Lead the design and development of scalable machine learning systems for restaurant-focused products like menu recommendations and demand forecasting, using Python, AWS, and LLMs.
Design and deploy ML systems, including GenAI solutions, for global clients in a remote-first consultancy. Lead projects, mentor juniors, and optimize models using Python, PyTorch, and AWS.
Design and deploy ML systems (classical, deep learning, and GenAI) for clients in climate, healthcare, and education, using Python, PyTorch, and AWS.
Группа Компаний Орбита - ведущий разработчик цифровых решений, российская аккредитованная ИТ-компания. Масштабный технологический проект с глубокой экспертизой в цифровизации бизнеса. Ключевые отрасли: государственный…
Build and scale Nuance Labs’ RL/post-training stack for real-time, full-duplex AI avatars, focusing on policy optimization, reward modeling, and multimodal interaction systems.
Tufin is standing up a governed, enterprise-scale AI program that spans ChatGPT, Claude, Workato eMCP, and a growing ecosystem of third-party AI applications. The AI System Architect is the most senior technical role…
Build and optimize large-scale data pipelines for multimodal AI training data (video, audio, text) to power real-time, emotionally intelligent avatars.
AI Research Engineer at Prolific AI Research (PAIR) leads independent research on LLM/agent evaluation grounded in human data, alignment techniques, and synthetic data generation, building scalable evaluation frameworks and tooling while publishing papers. Requires 5+ years of AI/ML-focused engineering experience and deep knowledge of LLM evaluation, fine-tuning, and optimization.
Research Engineer at Datadog’s AI lab in Paris builds and scales multimodal AI systems for cloud observability, training world models and autonomous agents using PyTorch, Ray, and GPU clusters.
Lead the design, training, and deployment of GenAI/ML models to build agentic investigation and troubleshooting tools for Datadog's Application Performance Monitoring (APM) product, focusing on distributed tracing and telemetry data.
SAVR is a fast-growing Swedish fintech company on a mission to reinvent investing. We empower investors with a platform that offers lower fees , greater transparency , and a radically improved experience . We’re not…
Develop and deploy AI/ML models for a federal enterprise data ecosystem, analyzing complex datasets to create predictive capabilities and support mission-critical solutions.
Lead a 3-person ML team building LLM-powered dialogue systems for Social Discovery Group's social products — owning ML strategy tied to business metrics, running LLM post-training (SFT, LoRA, DPO), designing tool-using agent systems, and building evaluation layers, with ~10–20% hands-on Python work.
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work. We strive to make a…
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