Python programmer állások, munkák ai és automatizáció kategóriában

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...

Exploration, profiling, cleansing, and preprocessing of data for analytics and reporting Design and management of workflows for storing and retrieving vectorised documents for AI use cases Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning...

Development of novel data extraction tools and workflows Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification Implementation...

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...

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...

Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops Define And Enforce Data Quality Standards...

Researching and designing new performance attribution models Collaborating with software developers to test and release new models into production Supporting existing performance attribution models in production Developing and improving model quality control and model performance monitoring...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Managing complex database systems within a global technology ecosystem Building and managing Database hosting capabilities using Infrastructure as Code for all platform needs Building Database Infrastructure Platforms with developers and providing guidance and tooling to handle distributed systems...