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ML Engineer designing data-to-presentation pipelines, experimenting with LLMs and multimodal models, prototyping services with backend teams, and defining generation quality metrics using Python, PyTorch, and GenAI technologies.
SeatGeek is looking for a Senior Machine Learning Engineer to design, build, and deploy production-ready ML systems for pricing, demand forecasting, and fraud detection. The role involves collaborating with cross-functional teams to maintain ML infrastructure using Python, AWS, and MLOps best practices.
About Affinity Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open new opportunities. We are a global AdTech company helping publishers discover better ways to…
Managing Data Engineer leading advanced analytics solutions at IBM Consulting UK, using Python, R, SQL, SPSS, and data manipulation tools to solve complex business problems for public and private sector clients.
Design and build scalable data pipelines and platforms using PySpark, Snowflake, and AWS to support machine learning solutions, while mentoring engineers and driving best practices at Sainsbury's.
!!IMMEDIATE JOINERS !! Can start from 25th Aug'26 Junior Data Engineer with PYTHON **BACHELORS DEGREE MANDATORY** What You'll Do (Responsibilities) Data Exploration: Clean, transform, and analyse large datasets…
Analyze and optimize ML inference performance (latency, memory, power) on Apple Silicon, working across the SW stack, low-level drivers, and HW debug involving CPU, GPU, and Neural Engine using Python/C++ and frameworks like PyTorch and MLX.
Analyze and optimize on-device ML model performance (latency, memory, power) on Apple Silicon for iPhones and Macs, working with frameworks like PyTorch and MLX across CPU, GPU, and Neural Engine.
Lead the design and development of mission-critical, full-stack applications in a Python-based ML/Ops environment, integrating machine learning models into production systems while collaborating with cross-functional teams.
GenAI Developer building and deploying LLM-based applications, RAG solutions, and AI-powered microservices on AWS (Bedrock, SageMaker, Lambda, ECS/EKS).
Data Scientist building machine learning models and analyzing large datasets to drive decisions for government consulting clients, using Python ML libraries and visualization tools.
Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world’s leading automobile manufacturers and the largest…
Req Id: 431879 Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions,…
Your Tasks Deliver measurable commercial impact through personalization, customer intelligence, and decision intelligence Contribute to building decision intelligence and customer intelligence roadmap by applying…
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
Amprion ist ein führender Übertragungsnetzbetreiber in Europa. Unser 11.000 Kilometer langes Höchstspannungsnetz reicht von der Nordsee bis zu den Alpen und erstreckt sich über sieben Bundesländer. Es ist das Rückgrat…
Job Responsibilities Job Summary: Drive data-driven decisions across commercial, operational, and financial domains by discovering insights, validating hypotheses, and building scalable AI/ML solutions. You will lead…
YOUR ROLE We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning services, Recommender Systems (RS), and Generative AI (LLM & LVM). The role collaborates closely with Data…
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
Staff Robotics Software Engineer at Intrinsic (Google's AI robotics group) in Munich, responsible for developing and deploying industrial grasping and manipulation algorithms end-to-end using C++, Python, and machine learning.
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