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Principal Machine Learning Engineer at Doctolib in Paris designs and standardizes AI/ML systems across healthcare applications, focusing on LLMs, agentic solutions, and regulatory compliance.
Senior ML Engineer at Doctolib builds and deploys AI systems (LLMs, retrieval pipelines, agentic AI) to improve patient access to healthcare, using Python, vector databases, and cloud-native tools.
Leads the technical direction of AI systems for clinical decision-making and patient care, including LLM-powered tools and evaluation frameworks, in a regulated healthcare environment.
Senior Software Engineer builds and scales AI services (LLMs, ML) on AWS using Python/TypeScript, turning research into secure, production-ready features for a GRC SaaS platform.
Data Scientist role at S&P Global in Gurugram, India, analyzing financial and business data to derive insights.
Builds and deploys AI/ML models (focusing on speech recognition and legal insights) in production, optimizing performance, latency, and GPU usage while integrating LLMs and agentic workflows where applicable.
Build and deploy production-grade AI models using PyTorch and LLMs to power analytics from NielsenIQ’s global retail data, collaborating with engineers and business teams.
Leads the design and architecture of a production GenAI platform for Deliveroo and DoorDash, focusing on open-weight LLM/VLM serving, fine-tuning, and GPU infrastructure to optimize cost, latency, and scalability for business impact.
Senior AI Engineer builds and deploys production software integrating LLMs and AI patterns into a command-and-control platform for defense operators, using TypeScript/Python and mentoring teammates.
Leads a team of ML engineers and data scientists to design, deploy, and maintain machine learning systems for sports betting and gaming platforms using Python, TensorFlow/PyTorch, and AWS.
Build and deploy ML systems and LLM-powered features for a B2B wholesale marketplace, owning models from design through production monitoring.
Build and ship web and mobile apps, automate workflows with AI, and optimize infrastructure for a young startup in Lörrach.
Builds and scales Google’s next-gen cross-channel ads platform using generative AI, multi-agent systems, and Google Cloud, collaborating with senior Ads teams to deliver features for advertisers and agencies.
About the Role We’re seeking a driven Data Scientist to join our FP&A team - someone who’s eager to work directly with senior leadership and bring predictive modelling, experimentation, and applied AI into a team…
Lead AI/ML strategy and teams at early-stage startups, defining product roadmaps and deploying generative AI systems using Python, PyTorch, and cloud MLOps stacks.
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Research Engineer builds reinforcement-learning simulators and reward functions to evaluate AI interviewers for HR workflows like sourcing, screening, and scheduling.
Build reinforcement-learning environments and reward functions to evaluate and improve AI models for real-world hiring workflows using Python, LLMs, and cloud infrastructure.
Builds, tunes, and deploys NLP models (LLMs, NER, RAG) for financial markets, automating trading workflows and integrating AI into Sber’s global markets platform.
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