Deliver backend development for a multi-agent evaluation platform within an agile setupProvide technical consulting to the project team and contribute to solution designBuild and maintain backend services aligned with defined functional requirementsDesign and implement APIs for seamless integration across internal applicationsCollaborate with cross-functional teams to clarify and solve technical integration needsApply modern data processing and analysis techniques to support platform evolutionImprove system performance through testing strategies, code reviews, and tooling enhancementsSupport UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related fieldStrong expertise in Python programmingSolid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domainsProficiency with CI/CD pipelines using GitLabExperience with GitOps workflows and Kubernetes-based service hostingAbility to implement or contribute to user interface componentsKnowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology projectHighly collaborative, cross-functional environment with modern engineering practicesExposure to advanced ML, multi-agent systems, and cutting-edge data technologiesFlexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Ihre neue Herausforderung Lead internal and external development team and provide overall technical leadershipDefine, review, and continuously improve system and solution architectureTranslate business requirements into secure, scalable technical solutionsOwn Azure cloud architecture for the product, including resource management, environments, deployments, and cost controlReview, maintain, and improve InfrastructureEnsure compliance with security, data protection, and operational standardsManage releases, technical milestones, access, licenses, and system documentationDefine product vision, roadmap, annual scope, milestones, and non-functional requirementsLead technical stakeholder communication and define integration requirementsManage product development budgeting, resource planning, and forecastingOwn and prioritize the product backlog; define epics, user stories, acceptance criteria, and scope decisionsSupport sprint execution, clarify requirements, remove blockers, and accept delivered workEstablish and improve agile ways of working; facilitate planning, refinement, and retrospectivesCoach teams on Scrum, ensure delivery transparency, and drive continuous improvementConduct Team meetings and 1-on-1, ensure team well-being, and drive continuous improvement Ihre Kompetenzen Technical Expertise Experience working in enterprise organizations.Experience leading hybrid (internal + external) software development teams and providing technical direction.Strong expertise in designing, reviewing, and improving system and solution architectures.Ability to translate business needs into secure, scalable technical solutions.Solid cloud computing expertise with a focus on Azure (resources, environments, deployments, cost control).Good understanding of infrastructure, security, and compliance standards.Experience managing releases, documentation, access, and licenses.Strong capability in defining integration requirements and communicating with both technical and non‑technical stakeholders.
HP-UX and AIX just as an advantage.Knowledge of VERITAS Infoscale (formerly Storage Foundation) and other Veritas productsKnowledge of cloud services Microsoft Azure and/or Amazon Web Services (AWS)Knowledge of shell scripting, Perl or Python programming languagesExperience in a large, multi-vendor, computing environment preferableResults oriented and driven by goal achievement with a strong focus on high qualityAbility to work independently and learn new things quickly WHAT YOU WILL GET FROM US ·Great team of IT professionals with global working exposure ·Meal Card and Flexible Benefits – customized according to individual needs ·On-going professional and technical training and certifications ·A multicultural environment in modern offices ·Choose any day for your vacation from earned public holiday (Saturday and ad hoc) ·Smart casual everyday ·Global internal job opportunities available within DPDHL ·Unlimited Outpatient Medical ·Home office possibilities Sounds good?
Job Overview: As a Principal Statistical Programmer you will provide advanced technical expertise to develop process methodology for the department to meet internal and external clients’ needs, across complex projects and studies.
Education & Experience: Bachelor’s degree in Engineering or a related technical field preferred; relevant experience in technical roles or sales may substitute. Minimum five years working with technical products or services, ideally vacuum equipment.
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elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.