AI and Machine Learning Talent Recruiting
What We Do
Impact
We are an Artificial Intelligence and Machine Learning Technical Recruiter. We focus on providing the top 10% of passive talent to our clients. Focused Industries include Electric and Autonomous Vehicles, Internet-of-Things (IoT), CleanTech, AgTech, BioTech, Smart Infrastructure, Augmented and Virtual Reality, IoT, Energy Storage, Electrification, micro-mobility, Big Data, and Artificial Intelligence industries.
Our Difference
Our difference is our holistic experience working with cross-functional teams across multiple industries and how each function impacts enterprise performance. We look way beyond filling a role. We look at holistic opportunities and risks for our clients such as revenue generation, time-to-market, quality, costs, and innovation.
Our Expertise
We are not just technical recruiters. We understand the technical problems our clients need to solve. From product design, manufacturing, quality control, supply chain, logistics, and much more. We leverage our technical and business experience to help our client's talent requirements.
What roles do we place?
Machine Learning Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Machine Learning (ML) Engineer roles may include designing ML systems, implementing ML Algorithms, performing statistical Analysis, train and retraining ML libraries and Frameworks.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Design and develop AI Models, convert AI models to APIs, perform Statistical analysis on big data sets, and lead cross-functional teams to implement AI projects.
Big Data Engineer
Artificial Intelligence Engineer
Director of Engineering
Gathering and translating raw data, designing and implementing relational databases for storage and processing, work with cross-functional teams to integrate business objectives.
Director of Engineering
Computer Vision Engineer
Director of Engineering
Leader of a technology roadmap and provide strategy, staff, and resources for the development and implementation of technology strategy per budget and timelines assigned.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineer
Build fully automated vision systems and deployment to cloud environment, bringing new features including deep learning models for deployment.
Software Engineer
Computer Vision Engineer
Computer Vision Engineer
Software development, modeling, simulation, testing, quality assurance, analysis of software, code and user requirements,