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Machine Learning Engineer
Optimize and deploy AI models on Qualcomm’s chipsets to maximize inference efficiency and accuracy using C/C++ and Linux/Android environments.
AI/Machine Learning Engineer, Embedded Systems, Inference Efficiency
Research and develop efficient on-device AI inference systems, focusing on model compression, hardware-software co-design, and optimization for Qualcomm’s low-power AI accelerators.
Senior Software Engineer, Next Gen Compute
Senior engineer optimizing ML model deployment and performance on embedded AI hardware for autonomous vehicles, using C++, CUDA, and TensorRT in a Linux environment.
Machine Learning Engineer, Data Mining
Build and deploy ML models to extract rare, critical driving scenarios from petabytes of sensor data for autonomous vehicle development using PyTorch, multimodal learning, and data mining pipelines.
Data Scientist, Repair Order (RO) Duration Analytics
Build and deploy AI/ML models to forecast and optimize vehicle repair durations using Python, SQL, and LLMs, then translate insights for business leaders to reduce downtime.
Full-Stack AI/ML Application Engineer
Build full-stack AI applications integrating LLMs and ML models into production systems using Python, TypeScript, and cloud platforms.
AI and Data Science Engineer (TS/SCI Poly)
Design, build, and deploy AI and data science solutions for government clients, including ML models, pipelines, and analytics products using Python, SQL, and cloud platforms.
Machine Learning Staff Software Engineer, Search Personalization
Builds and deploys advanced ML models (e.g., neural retrieval, clustering, ranking) to personalize Google Search and Discover, optimizing user engagement at global scale with realtime systems.
Machine Learning Engineer
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Generative AI / AI-ML Engineer
Build and deploy production-grade generative AI systems using Python, LLMs, RAG pipelines, and AWS services like SageMaker and Bedrock.
Senior Data Engineer (Remote)
Build and own data pipelines, warehousing, and ML infrastructure for an AI-powered workforce development platform, transforming labor market and skills data into job-matching systems using Python, SQL, Airflow, dbt, and AWS.
AI Architect
Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
Operations Data Engineering Analyst
Maintains and expands industrial data-historian systems (AVEVA PI/IP.21), curates clean datasets, and prepares AI-ready data pipelines for renewable-energy monitoring and predictive analytics.
Data Scientist
Build and deploy ML models to grow audiences and personalize content for a media company, from recommendation engines to NLP and RAG systems.
Senior Data Scientist
Lead end-to-end ML projects for a media company, building recommendation engines and personalisation models to grow audience engagement and inform content strategy.
Senior Machine Learning Engineer
Build and deploy ML models that power travel-management features, collaborating with data analysts and engineers to turn business KPIs into production-ready AI systems.
AI Architect
Designs and oversees GenAI/LLM architectures for public-sector clients, focusing on RAG pipelines, deployment, and governance in distributed cloud environments (AWS/Azure).
Senior Manager, Generative AI Scientist (Global Marketing AI)
Leads the design and deployment of generative AI solutions for marketing, using Azure cloud tools to build scalable AI models that enhance sales and operational effectiveness.
Senior Software Engineer - Data Engineering & AI
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them to cloud, and maintains MLOps workflows using Spark, TensorFlow, and Airflow.
DevOps Engineer – SAS Viya
Maintain and automate SAS Viya environments for ING’s modelling teams, deploy risk models, and troubleshoot platform issues while collaborating with DevOps and cloud teams.