Vero

About the Company

We help founders and leaders build high-impact teams by connecting them with exceptional talent globally, with a focus in the US. We operate at the intersection of AI, next-gen infrastructure, data, and advanced technology - where hiring decisions are integral to success. Vero is the evolution of KE Technology. Not a new business, but a clearer expression of the one we have been building for the past seven years. Over that time, we’ve seen the technology landscape shift at a rapid pace. AI and advanced systems are now foundational. The cost of the wrong hire is huge. Hiring is no longer about volume. Getting it right, quickly, has never been more critical. That is what Vero is built for. We bring a clear, honest approach to technical recruitment, aligned with how modern technology businesses operate. We support hiring across: - AI - Next-Gen Infrastructure - Software Engineering - Data - Platform, DevOps, SRE - Technical and Product Leadership - Sales Engineering - Financial Technology We work across permanent, contract, and project delivery, supporting companies at different stages of scale and maturity. We also support niche and hard-to-fill roles through tailored search and headhunting, where clarity, discretion, and precision matter most. Whether you are building your first tech team, scaling an existing one, or navigating a shift in your product or business, our role is to help you hire with confidence.

Listed Jobs

Company Name

Vero

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary: Design, develop, and deploy advanced machine learning models that drive product innovation and performance. Combine engineering rigor with research‑driven experimentation to deliver scalable AI solutions that meet business objectives. Expectations: - 3‑7 years of experience building ML pipelines and production‑ready systems. - Bachelor’s or Master’s degree in computer science, electrical engineering, applied mathematics, or related field. - Strong track record of model deployment at scale, time‑series analysis, and end‑to‑end ML lifecycle management. Key Responsibilities: - Build, iterate, and benchmark ML models (neural networks, probabilistic models, generative AI, active learning, reinforcement learning, etc.) using real‑world data. - Design and execute reproducible experiments, analyze performance metrics, and translate results into actionable insights. - Integrate ML solutions into production environments, ensuring scalability, reliability, and maintainability. - Collaborate with research, product, and client teams to align model development with business strategy and user needs. - Stay current with deep learning frameworks (PyTorch, TensorFlow, JAX), industry developments, and emerging quantum‑inspired techniques. Required Skills: - Python programming, with proficiency in scikit‑learn, PyTorch, TensorFlow, and/or JAX. - Solid understanding of ML fundamentals (regression, classification, clustering, evaluation metrics). - Experience with time‑series modeling and enterprise‑grade data pipelines. - Cloud platform expertise (AWS, Azure, or GCP). - Experimentation mindset: design, statistical analysis, rapid iteration. - Quantum mechanics background or strong interest in leveraging quantum concepts for ML considered a plus. Required Education & Certifications: - Bachelor’s or Master’s degree in a related technical field. - (No mandatory certifications required.)

New york, United states

Hybrid

Junior

26-01-2026