Python programmer állás, munka

Development and deployment of AI-powered applications from prototype to production using modern LLM frameworks and APIs Design of evals and metrics measuring real-world performance including accuracy, latency, UX quality, and safety Building and optimization of Retrieval-Augmented Generation (RAG)...

Technical leadership post-sales for strategic customers in big data project design and implementation Identification and driving of new initiatives to turn customer data into actionable business value aligned with business goals Architecting production-level workloads including performance testing...

Translation of AI opportunities into executable technical solution designs Definition of integration approaches with IT and business application/data owners Implementation of AI use cases using enterprise AI services and LLM APIs Hands-on contribution to prototyping, integration logic, and critical...

Building and maintaining robust CI/CD pipelines for ML models and data workflows Automating and managing the end-to-end lifecycle of machine learning models from training to deployment and monitoring Developing infrastructure to support scalable, reproducible model training and serving in Cloud or...

Experience in different Data Science topics (e.g. machine learning, LLM, deep learning) Independent delivery of Data Science projects with e2e product-oriented mindset Engagement with clients to understand business objectives and translate into technical requirements Leading pre-sales technical...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

What you'll do: The Role:In your role as a Development Architect, you'll conceptualize and detail out our idea of an autonomous operations platform. You'll plan and design distributed systems that enable AI-driven incident management, define integrations with AI/ML services, and develop...

Automation and streamlining of fraud investigation processes Improvement of tooling for fraud investigations Creation of seamless experience for agents and customers during fraud investigations Development of innovative solutions to tackle fraud Implementation of AI-driven investigations to enhance...

• You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous driving
• Design, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Cooperation with software teams to establish and implement quality processes at every stage of the development cycle Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications Driving improvement at every step of the...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

• Analyze existing manufacturing and product-level data to identify structures and relationships.
• Design a structured data model to organize product-relevant data.
• Explore and link data to support product-level carbon footprint analysis.
• Develop queries and small-scale prototypes to test the data model.

Ownership of quality and test strategy for critical backend services, APIs, and data flows across the platform Design, implementation, and maintenance of automated test suites in Python covering API, integration, and service-level testing Leadership of automation design decisions including...

Resource Account igénylése és összekötése namespacekkel Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken RICE API kapcsolatok kialakítása Certek kezelése, AMI updatek és patch folyamat...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

Maintaining and evolving AI/ML projects using Python Building design Agentic LLM based solutions and maintaining/improving existing ones Ensuring output quality by verifying consistency and accuracy Investigating, assessing, and developing cloud based MCP solutions Working under Agile Framework...

Client-facing communication Participation in pre-sales discussions Collaboration with Sales and Customer Success teams Communication with clients’ technical teams Solution design and delivery Design and configuration of data labeling and processing pipelines using Python-based tools Combination of...

• You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications.
• Typically, these solutions encompass a completely automated light microscopy workflow from image acquisition to the image analysis.

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....