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Builds and deploys AI/ML and agentic systems as a Senior Engineer, focusing on robust backend APIs, production-grade pipelines, and cross-team collaboration to integrate AI solutions.
The Machine Learning Engineer will develop generative world models and interactive simulation environments to advance autonomous driving research. The role focuses on creating efficient, real-time models using Python and PyTorch to improve training and evaluation for self-driving systems.
This role involves building and scaling generative world models to produce synthetic data for autonomous driving research. You will bridge the gap between ML research and engineering by optimizing model architectures and integrating synthetic data into the training pipeline for driving models.
Zerolook is seeking a Senior ML Engineer to lead the development of high-performance pricing models and robust data pipelines for air travel. This early-hire role involves shaping the technical strategy and leading a growing team in a fast-paced startup environment.
Researcher builds deep-learning models to predict short-term market moves for high-frequency delta-one trading, using TensorFlow/PyTorch and collaborating with traders and engineers.
Research and implement ML models for global trading strategies, deploying solutions in equities, futures, and options markets using Python and frameworks like PyTorch.
hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery…
The Machine Learning Engineer will build and maintain data pipelines on Databricks and productionize traditional machine learning models like propensity and segmentation. The role requires a hybrid presence in Oak Brook, IL, and focuses on MLOps, data quality, and model deployment.
Builds and deploys AI-powered applications for clients, integrating Python, LLMs, and cloud services while collaborating with stakeholders to solve complex technical challenges.
This is an internship role at Sberbank focused on training computer vision models and researching new architectures to solve business problems.
AI Engineer designing, building, and deploying production ML and Generative AI/LLM solutions across the full lifecycle using Python, PyTorch/TensorFlow, RAG pipelines, and MLOps practices.
AI/ML Engineer II 3-8 Years Experience JOB SUMMARY We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal…
The Senior Machine Learning Engineer will design and deploy end-to-end ML systems to interpret patient healthcare requests and improve triage outcomes. The role involves collaborating with data scientists to productionize models using Python, C#, or Go within a healthcare-focused product environment.
Build and deploy AI solutions on Databricks and Azure, covering the full ML chain from data to monitoring with a focus on cost-efficient, production-grade systems.
ПриватБанк — є найбільшим банком України та одним з найбільш інноваційних банків світу. Займає лідируючі позиції за всіма фінансовими показниками в галузі та складає близько чверті всієї банківської системи країни. Ми…
The AI/ML Engineer will build agentic AI workflows and behavioral anomaly detection models to automate IT operations for Managed Service Providers. The role involves integrating LLMs, orchestrating agent workflows, and implementing production-grade AI systems using tools like Python, LangChain, and various cloud model providers.
Develops AI/ML pipelines for verifying scientific/clinical claims by retrieving evidence, decomposing claims, and detecting contradictions; ensures traceable, abstention-based decisions for high-stakes biotech/healthcare content.
Owns AI quality for an agentic video editor, building evaluation datasets, offline/online evals, and feedback loops to improve agent performance and fix production failures.
Lead Product Manager for Avito's Business Insights AI/ML platform that extracts user voice from dialogues (calls, chats, support tickets) using LLMs and NLP to deliver rapid insights to product teams.
Senior ML Engineer bridging data science and engineering to productionise, deploy, and scale machine learning systems using Python, Kubernetes, Kafka, and cloud infrastructure at a fintech SME lender.
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