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. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
Develop and continuously enhance the OneCompiler toolchain, including the MLIR/IREE front end, intermediate representation (IR) transformations, and backend code generation Integrate compiler components into software products such as eIQ and ML SDKs Design optimization passes and hardware-specific lowering flows for efficient model execution Contribute to exploratory compiler initiatives such as training-graph ingestion, auto-tuning, heterogeneous scheduling, and runtime bindings Build and maintain model ingestion pipelines for PyTorch, ONNX, TensorFlow, and TFLite Collaborate closely with internal engineering teams and external partners to drive innovation across the compiler ecosystem Strong background in compiler design and modern ML compiler frameworks (e.g., MLIR/LLVM, TVM, IREE, XLA) Familiarity with model export workflows for PyTorch, ONNX, and TensorFlow Deep understanding of AI/ML models, quantization techniques, and hardware-aware optimizations Proficiency in C++ and Python, with experience implementing compiler passes or device backends Experience working with embedded or heterogeneous compute architectures (e.g., Cortex CPUs, NPUs, DSPs) Hands-on experience with IREE AOT compilation or its runtime is benefitical Experience developing new MLIR dialects is benefitical Fascinating, innovative environment in an international atmosphere Ihr Kontakt Referenznummer 860059/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Computer Futures sucht in Hamburg, Hannover, Berlin, Stuttgart, Köln, Düsseldorf, München, Frankfurt eine/n SAP Integration-Entwickler (m/w/d) Fokus: SAP CPI (ID-Nummer: 13458466)
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Tasks: Structure and manage data knowledge, sensitivity, and quality to ensure usability and accessibilityProvide the right digital solutions at the right cost for the right users, ensuring simplicity, consistency, and sustainabilityApply the security-by-design principle in the design, improvement, and development of digital assetsEnsure compliance with security standards and regulations across multiple countries and divisionsDeliver secure digital solutions in internal and external projects, supporting all service lines in GermanyDrive compliant ways of working through awareness, best practice sharing, and contribution to cross-functional FMRE projects Skills: Completed studies in Project Management, Computer Science, or a digital disciplineSeveral years of professional experience in interface management and in IT / information systems Experience in data analytics and data managementGood knowledge of project management and risk managementBusiness fluent English Skills and proficient German language skills, French is a plusExcellent communication and presentation skillsWillingness to travel occasionally within Germany and to France Our offer: An unterminated employment contractA far above-tariff remunerationAn interesting job that corresponds to your qualifications Application process: If you want to apply directly, please send us your CV by e-mail or via the online application offered.