Lead research on hyper-personalization and memory evolution for AI agents, developing algorithms, models, and prototypes to enhance user understanding and personalization across tasks.
Responsibilities
Conduct research on long-term memory and personalization modeling
Develop and evaluate multi-modal interaction trajectories and skill learning
Design and implement multi-agent collaborative memory systems
Adapt large models for personalization and memory read/write
Create high-quality training data and conduct supervised fine-tuning
Requirements
Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or related field
Lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for strategic clients. This role blends advisory, hands-on solutioning, and practice-building leadership to ensure AI delivers tangible, industry-specific business outcomes.
Responsibilities
Architect and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration.
Serve as the anchor architect for major client accounts and lead C-level discussions to define AI roadmaps.
Envision, design, and deliver verticalized AI use cases across various industries including Banking, Healthcare, Retail, and Manufacturing.
Lead end-to-end model lifecycle: data preparation, training, fine-tuning, deployment, monitoring, and continuous improvement.
Establish enterprise standards for MLOps/LLMOps pipelines and build agent lifecycle governance frameworks.
Psychiater in het Gebiedsteam Blerick, verantwoordelijk voor diagnostiek, behandelplanning en crisisbeoordeling binnen een multidisciplinair team.
Locations (2)
Venlo, Limburg, Netherlands
Blerick, Limburg, Netherlands
Compensation
Wij bieden jou een marktconform salaris conform CAO GGZ FWG Medisch Specialisten. Het salaris bedraagt minimaal €6691 en maximaal €11292 bij een fulltime dienstverband, afhankelijk van jouw kennis en ervaring.
Responsibilities
Verricht diagnostiek tijdens intake, consultatie, huisbezoek of crisisbeoordeling
Stel behandelplannen op en draag eindverantwoordelijkheid als regiebehandelaar
Monitor voortgang en voer indien nodig aanpassingen door
Neem deel aan multidisciplinaire overlegvormen
Werk actief mee aan ontwikkeling behandelbeleid
Requirements
Afgeronde opleiding tot psychiater, met registratie in het BIG-register
Apply AI engineering expertise to deploy, optimize, and scale models for strategic customers, leading technical journeys from POCs to production endpoints.
Responsibilities
Scope workloads, define metrics (TTFT, throughput, cost/token), build benchmarks, and lead technical POCs.
Serve as the technical lead for customer engineering teams through architecture reviews and rollout planning.
Tune engines (KV cache, speculative decoding, parallelism, quantization) to hit aggressive performance targets.
Profile and diagnose bottlenecks at the engine level to deliver production fixes.
Own end-to-end customer onboarding, deployment, autoscaling, capacity planning, and SLO monitoring.
A hands-on role joining the AMI team combining Machine Learning, statistical modeling, Generative AI, Retrieval-Augmented Generation (RAG), model evaluation, and applied AI experimentation for enterprise AI applications.
Compensation
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
Responsibilities
Design, develop, evaluate, and improve AI/ML solutions that address enterprise business and technical challenges.
Apply statistical rigor, reproducible experimentation, and MLOps/LLMOps practices to improve model quality, RAG effectiveness, and AI application performance.
Take ownership of defined Data Science initiatives, lead moderately complex or ambiguous modeling and evaluation tasks, collaborate with engineering teams on production readiness, and mentor less experienced Data Scientists.
Apply classification, regression, ranking, forecasting, clustering, and anomaly detection to enterprise AI and agentic use cases.
Develop and evaluate intent classification, semantic matching, agent/skill/tool ranking, and model-routing techniques using traditional ML, embeddings, and LLM-based approaches.
Requirements
Bachelor's degree in Data Science, Machine Learning, or Applied AI, Physics, Computer Science, or equivalent
Master's degree in a related field
Sr. Manufacturing Test Engineer – (Electro-Mechanical Systems)
NextPower is seeking an experienced Senior Manufacturing Test Engineer to lead the transition of New Product Introduction (NPI) test solutions into stable, scalable, high-volume mass production test systems. This role is responsible for developing robust manufacturing test architectures, optimizing yield performance, and deploying standardized test systems across global Contract Manufacturers (CMs).
Responsibilities
Lead manufacturing test strategy development during NPI to ensure seamless transition into high-volume production environments.
Partner with NPI Test Design Engineering to drive Design for Test (DFT) improvements that enhance coverage, reduce cycle time, and improve yield.
Define and implement test coverage strategy across ICT, BFT, and SFT platforms to ensure robust product validation.
Collaborate with Test Design team and tester suppliers during tester development, qualification, FAT, and SOP phases.
Develop scalable test architectures capable of supporting high-volume manufacturing ramps and long-term production growth.
Requirements
Bachelor’s or Master’s degrees in Electrical Engineering
Bachelor’s or Master’s degrees in Computer Engineering
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