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Why this role matters Lead the design and deployment of enterprise-grade generative AI solutions on Azure. Your work will drive innovation and deliver measurable value across business functions. Responsibilities • Design scalable, secure generative AI architectures using Azure OpenAI Service, Azure ML, Cognitive Services, AKS, and vector databases. • Define and lead AI adoption strategies aligned with business objectives, focusing on text, image, and code generation use cases. • Evaluate, integrate, tune, and operationalise foundation models like GPT, DALL·E, and Codex. • Build automated AI pipelines and MLOps workflows with Azure ML, Data Factory, Synapse, DevOps, and LLM orchestration tools such as LangChain or Semantic Kernel. • Ensure compliance with responsible AI principles, data governance standards and regulatory requirements. • Partner with senior leadership to translate technical concepts into clear business recommendations. • Stay current with generative AI trends and emerging Azure tools; propose new use cases and solutions. Required experience and skills • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML or related field. • At least seven years of solution architecture experience, including a minimum of two years working hands-on with Azure AI and generative models. • Expertise in Azure OpenAI Service, Azure ML, Cognitive Search, AKS, and vector databases such as Cosmos DB, Pinecone or Weaviate. • Practical experience with LLM orchestration frameworks like LangChain or Semantic Kernel, and with prompt engineering and model fine‑tuning. • Programming proficiency in Python, C# or equivalent, and solid understanding of REST APIs, CI/CD pipelines and DevOps practices. • Preferred certifications: Microsoft Certified: Azure Solutions Architect Expert and/or Azure AI Engineer Associate. What's in it for you?• Competitive base salary with performance-based bonuses. • Flexible working arrangements to support work-life balance. • Opportunities to work on leading-edge generative AI projects with visible business impact. • Access to training, mentoring and support for achieving Azure certifications. • Collaborative, innovative team culture focused on real-world outcomes. What sets you apart Proven ability to deliver tangible results—share past projects where you architected or deployed generative AI solutions, including key metrics and business impact. Demonstrated use of Azure-native tools and best practices in MLOps and responsible AI.

🔍 Quantitative Researcher – New York 💼 Quantitative Strategies | Alpha Research | Global Markets 🚀 Our client is a global quant fund managing multi-billion dollar portfolios using fully automated, statistically driven strategies across equities and futures. With a deep commitment to research, innovation, and collaboration, they’re expanding their NY team. What you'll do: • Research & backtest academic finance theories using real-world data • Build alpha models and test their validity with rigorous statistical techniques • Dive into petabytes of global market and alternative data • Collaborate with world-class researchers, technologists & traders across global offices • Contribute to production-ready quant strategies What we're looking for: • Pursuing (or recently completed) a BS/MS/PhD in CS, Math, Stats, Physics or similar • Strong grasp of statistics and modelling • Coding skills in Python or other scripting language • Self-starter with analytical horsepower • Knowledge of ML, finance, or cloud infrastructure is a plus (not a must) Why join? 💡 Learn from top-tier mentors in a flat structure 🌍 Global exposure with offices in NY, London, HK & Miami 🧘‍♂️ No dress code, Friday team lunches, startup energy 📈 Competitive comp + full benefits (401k match, health, dental, vision, PTO)📍Location: New York 💰Salary: Competitive & Commensurate with Experience ✅ Our client is an equal opportunity employer. 📩 Ready to apply or want to learn more? Drop us a message.

We are looking for an experienced Engineer/Scientist to join a cutting-edge robotics team in Zurich, focused on humanoid manipulation through state-of-the-art AI. You will contribute to developing and deploying learning-based controllers to enable robots to interact intelligently, reliably, and flexibly with complex environments. This role is deeply hands-on with real robot hardware, leveraging your expertise across vision-language-action (VLA) models, diffusion models, reinforcement learning, and dexterous manipulation. What we’re looking for:PhD or Master's in Robotics, AI, or related fieldsStrong expertise in learning-based dexterous manipulation (multi-fingered grasping, task-oriented manipulation)Practical experience with running real-time controllers on robotic hardwareDeep knowledge of diffusion models, transformers, CVAEs, normalizing flowsExperience working with ROS, PyTorch, and PythonFamiliarity with vision-language models (VLA/VLMs/LLMs) for robotic planning or failure detectionBonus: experience with synthetic data generation, simulation environments, teleoperation systemsWhy this role?Join a high-calibre team (ex-ETH / ex-NVIDIA founders) backed by significant investment (Seed + Series A secured)Work at the intersection of simulation, reinforcement learning, and robotics hardwareContribute to next-generation humanoid robots without reliance on traditional imitation learning paradigmsIf you’re passionate about building more intelligent robots through cutting-edge AI and want to work in a fast-moving, well-resourced environment, we’d love to hear from you.

Senior Market Connectivity Developer Location: Whippany, NJ, United States Type: Permanent | Vice President Level Salary Range: $170,000 – $230,000 (Base only) + Bonus & Benefits The Opportunity Our client, a global investment bank, is seeking a Senior Developer to join its Market Connectivity team within the Pre-Trade Technology function. This role is core to building low-latency, high-throughput exchange connectivity systems used by cross-asset trading desks globally. You’ll be part of a distributed team delivering mission-critical infrastructure for high-performance trading environments. What You’ll Be DoingDesign and build scalable, high-performance connectivity components in Java and/or C++ for low-latency trading.Collaborate with colleagues in London, Prague, and the US to deliver globally aligned exchange connectivity platforms.Own the full SDLC including development, testing, release, and production support.Act as a subject matter expert in distributed systems and financial protocol integration (FIX, OUCH, etc.).Contribute to production stability, participate in post-mortems, and help shape SRE best practices.Tech Stack / Experience NeededStrong Core Java (or C++) development background, with hands-on experience in Linux environments.Expertise in multi-threading, memory optimization, networking, and distributed systems.Familiarity with financial protocols like FIX, OUCH, or Millennium is highly preferred.Exposure to scripting languages (Bash, Perl, Python) and tools such as Grafana or Prometheus is a plus.Previous experience in trading, risk, or middle office systems is strongly valued.You Should Apply If You…Are excited by complex technical challenges in ultra-low latency systems.Have the ability to work autonomously while influencing architectural decisions across global teams.Want to work at a firm where technology is core to market success, not a back-office function.Are looking to join a high-calibre team in a Vice President-level role with long-term growth.Additional Role ExpectationsPlay a strategic role in aligning development initiatives with broader business goals.Mentor junior developers and participate in peer code reviews.Engage in risk and governance processes, contributing to control and compliance.Foster an environment aligned with agile delivery and secure coding practices.Compensation & PerksCompetitive base salary: $170,000–$230,000Eligibility for incentive bonusFull benefits package including:401(k)Medical, dental, vision insurancePaid leave for qualifying circumstancesLife & disability coverageInterested? This is a high-impact role within a mission-critical team at the heart of a global trading operation. If you're ready to step into a senior engineering role with a clear path to leadership, apply now or reach out for more details.

Applied AI Researcher  $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are recruiting for an Applied AI Researcher possessing deep expertise in contemporary large language model frameworks and demonstrated experience implementing generative AI solutions in production environments. Key ResponsibilitiesMonitor and analyze emerging trends in generative AI and assess their strategic application potentialEvaluate new methodologies and technologies for integration into existing systemsArchitect, develop, and maintain sophisticated LLM-based applicationsManage complete machine learning pipelines encompassing data preprocessing, model development, performance evaluation, and deployment operationsTranslate complex technical concepts for diverse audiences, from technical specialists to business stakeholdersPrepare comprehensive documentation and presentations on research findings and technical decisionsPartner with software engineers, UX designers, and data science teams to deliver innovative AI-powered solutionsContribute to product strategy and technical roadmap development About YouBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related quantitative field – PhD desirable!Minimum 3 years of hands-on experience in machine learning and AI developmentProven track record of successfully deploying AI models in production environmentsExperience with enterprise-scale AI implementationsAdvanced Python abilityExtensive experience with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXDeep understanding of machine learning algorithms, data structures, and optimization techniquesUnderstanding of MLOps practices and deployment strategiesIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

AI Engineer $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are seeking an experienced AI Engineer to join a dynamic engineering team. The successful candidate will possess deep expertise in contemporary large language model architectures and demonstrate proven experience implementing generative AI solutions in production environments. Key ResponsibilitiesArchitect, implement, and maintain LLM applicationsOversee complete ML lifecycle managementHandle data analysis, processing, and model architecture designDevelop training protocols, evaluation metrics, and MLOps infrastructureMonitor and analyze emerging trends in GenAI technologiesEvaluate potential applications of new developments for product enhancementContribute to strategic technical decision-makingPresent technical concepts to diverse audiences with varying technical backgroundsContribute to innovative AI solution development across multiple product areas About YouMinimum 3 years of ML experienceDemonstrated success deploying scalable AI models in production environmentsAdvanced programming capabilities with PythonProficiency with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXExperience with model optimization and deploymentBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or similarPhD or equivalent industry experience preferred Preferred QualificationsPublished research in recognized AI/ML conferences or journalsActive contribution to relevant open-source projectsParticipation in competitive ML platforms (Kaggle, etc.)Engagement with AI/ML professional communitiesPrevious experience in startup or scale-up environmentsIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

Quantitative Researcher – Crypto Markets & Signal Modeling A remote-first trading company is looking for a Quantitative Researcher or Data Scientist to help uncover short-term alpha in emerging crypto assets. You'll focus on surfacing opportunities in memecoin markets using a mix of blockchain analytics, sentiment signals, and time-series modeling. Key Details:Start date: ASAPLocation: Remote - EuropeContract: 3 months (potential to extend or go permanent)Rate: €500–€550/dayRole OverviewDevelop data-driven signals using blockchain indicators such as wallet flows, token velocity, and on-chain user activityBuild fast-reacting models to support short-horizon trading strategies with high win potentialUse real-world backtesting and live data to validate and adjust strategy parametersTrack platform-level performance metrics (e.g. retention, revenue trends) to support operational insightsWork closely with engineering teams to translate models into production-grade trading botsIdeal ProfileAdvanced academic background (PhD or equivalent experience) in a quantitative disciplinePrevious work in high-performance trading environments (HFT, hedge funds, or crypto-native quant firms)Strong command of Python, R, or MATLAB with a focus on market modeling and alpha researchFamiliarity with crypto trading ecosystems, especially volatile altcoins or Solana-based assetsComfortable navigating uncertain, noisy data and high-frequency environments

Freelance Agentic AI Engineer – A stealth startup trading company is looking for an experienced Agentic AI Engineer to develop autonomous trading agents using reinforcement learning and deep learning. The focus is on real-time execution across memecoins and large-cap crypto assets, powered by Solana. Key DetailsStart date: ASAPLocation: Fully remoteContract: 3 months (with option to go permanent)Day rate: €520/dayWhat You’ll DoDesign and train RL/DL models for crypto asset tradingBuild real-time trading agents integrated with Solana (e.g. Pyth Network, RPC APIs)Develop strategies for high-volatility memecoins and liquidity-aware large-cap coinsImplement risk controls to manage exposure across asset classesWhat We’re Looking ForPhD in AI/ML or 5+ years at leading AI/Web3 firms Demonstrated success deploying AI-powered trading systems with measurable performanceStrong background in reinforcement learning, deep learning, and financial modelingBonus: Experience with Solana, live trading infrastructure, or agentic AI