UngārijaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatorredzes inženierisMašīnmācīšanās inženierisBuild on-device sports tracking technology for Hawk-Eye Innovations, optimising computer vision inference across consumer devices. The work supports elite and semi-professional sport.
IndijaHibrīdiPilna slodzeJaunākais speciālistsVidējais līmenisNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženierisBuild Python and machine learning solutions using automotive plant data and connected data pipelines. Help Expleo advance safer, smarter, and more sustainable mobility.
Build machine learning models and LLM pipelines while analyzing travel data for Mize. Evaluate model performance in production and share findings with technical and business teams.
AustrālijaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMašīnmācīšanās inženierisAdvance AI agent planning, memory, evaluation, and safety for Zendesk’s customer service resolution platform. Build reinforcement learning systems using production trajectories.
VjetnamaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženierisPrincipal-level engineer guiding AI adoption across Gradion’s digital platforms and Deep Tech solutions. Combines hands-on LLM development with architecture, reliability, and technical leadership, without direct reports.
Amerikas Savienotās Valstis
KalifornijaLead the development of machine learning and causal inference solutions that support Airwallex’s global growth. Work with Marketing and Growth teams to improve customer acquisition, engagement, and retention.
IndijaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženierisLead AI engineering at Allstate India, designing agentic AI, semantic systems, and cloud data platforms. Set technical direction across products and strengthen production operations and engineering practices.
MaliLead the systems behind the company’s machine learning, spanning training, evaluation, inference, and deployment. Build production infrastructure with Python, PyTorch or JAX, and GPU computing.
Amerikas Savienotās ValstisKalifornija
MinesotaLead the development of production AI and machine learning applications for Target’s retail business. Provide hands-on technical direction across LLMs, applied ML, system architecture, deployment, and operations.
Lead Finom’s production Dynamic Risk Score and develop machine learning systems that help detect financial crime for European small and medium-sized businesses. Deploy, monitor, and improve models and transaction rules across markets.
