KenkoTech Futures

www.kenkotechfutures.com

2 Jobs

2 Employees

About the Company

(kenko) - The balance of vitality and harmony in body and mind. We're committed to advancing innovation and growth by focusing on AI and cutting-edge technologies in the Health & BioTech space. We connect ambitious businesses with top talent across AI & Data, Software & Product, sales, marketing, and more. Backed by our capital investor, Fourteen Group, we've got the financial strength and industry expertise to take our services even further, ensuring our clients stay ahead in the dynamic healthtech and biotech sectors. Our goal? To be the top recruitment partner in these industries, connecting forward-thinking companies with top-tier talent in data, AI, sales, marketing, software development, and more. What we do: We work with small to medium-sized businesses, offering the strategic recruitment support needed to scale fast. We build teams that drive success. Why us? What sets us apart is our commitment to building lasting relationships based on trust and transparency. We're more than recruiters; we're partners in growth.

Listed Jobs

Company Name: KenkoTech Futures
Job Title: Staff Research Scientist, Machine Learning
Job Description

Company Name: KenkoTech Futures
Job Title: Staff Machine Learning Engineer
Job Description: Job title: Staff Machine Learning Engineer Role Summary: Lead the design, development, and scaling of machine‑learning infrastructure that powers AI‑driven drug discovery. Own end‑to‑end pipelines for training, evaluation, and production inference, working closely with ML scientists, software engineers, and biologists. Expectations: * Deliver robust, reproducible ML workflows that support high‑volume genomic data. * Mentor junior engineers and set engineering standards across the ML team. * Drive continuous improvement of tooling, CI/CD, and best practices in a cross‑functional environment. Key Responsibilities: * Design, build, and maintain scalable training and inference pipelines. * Develop reproducible data pipelines and integrate with experiment tracking (e.g., Weights & Biases). * Collaborate with scientists and engineers to prototype, iterate, and deploy ML solutions to production. * Promote modular design, code review, testing, and CI/CD automation. * Mentor peers, provide technical guidance, and elevate overall team capability. Required Skills: * 3+ years in ML engineering or software engineering with a focus on machine‑learning systems. * Advanced proficiency in Python and experience with PyTorch, TensorFlow, or JAX. * Strong software architecture and design pattern knowledge. * Hands‑on with Docker, Kubernetes, and cloud‑scale deployment. * Excellent collaboration skills in multidisciplinary teams. Required Education & Certifications: * Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, or related field (Master’s preferred). * No specific certifications required.