AMD is building a hardware-assisted security platform that uses silicon-level Performance Monitoring Counters (PMCs) and on-chip machine learning to detect advanced endpoint threats (ransomware, fileless malware, cryptojacking) at the processor layer, below OS-based evasion...
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... product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands. On behalf of the client, GT is looking for a Senior ML Engineer / Applied ML Engineer who is interested in solving complex matching and search problems at scale, applying ML and algorithms to hundreds of millions of real-world ...
Your responsibilities - As a AI/Machine Learning Engineer, you will design and develop predictive and recommendation models, experiment with state-of-the-art ML/AI techniques (including deep learning), and evaluate their impact on business KPIs. You’ll optimize data pipelines and model code using PySpark, Pandas, and MLflow, ...
... Product: Robotics automation solutions About the role We are looking for a Senior Machine Learning Engineer (Robotics & Computer Vision) to join the technical team of a startup building cutting-edge automation solutions. Working closely with the CTO & Co-founder, you will own the product's ML core and shape its technical direction ...
... MLOps, monitoring, and model lifecycle tooling We optimise for measurable model quality, low latency, production viability, and enterprise constraints. Scope of ownership and delivery context Core ownership - Implement and improve the Signal Extraction & Trigger model - Build training and evaluation pipelines for signal ...
... Write and maintain automated tests for data and model-related code; - Support the delivery of models through REST APIs or batch-processing workflows; - Document model assumptions, results, limitations, and technical decisions; - Work closely with senior engineers, incorporate feedback, and gradually take ownership of more ...
... Improve attribution modeling logic to support better optimization and business decisions. , Ensure high availability, performance, stability, and scalability of real-time data workflows. , Design and support production-grade ML model serving infrastructure., Develop and manage dbt datasets for model training, experimentation, ...
... non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role: As a Senior Machine Learning Engineer operating at Senior Member of Technical Staff level, you will independently own critical ML subsystems running in production. You will ...
... and 1 year of experience with software design and architecture. Optional - Master's degree or PhD in Computer Science or a related technical field. - 5 years of experience with data structures and algorithms. - 3 years of experience with software development in training, developing or applying machine learning models. ...
... engineer responsible for signal detection - Partner with client SMEs on training data, recommendation quality, and policy validation - Collaborate with data engineering and MLOps on training, retrieval, and inference pipelines - Contribute to technical decisions through experiments and measurable results - Work with incomplete ...
... impactful, data-driven solutions., , Sounds like your kind of challenge? This is how we work, agile, scrum Your responsibilities, As a AI/Machine Learning Engineer, you will design and develop predictive and recommendation models, experiment with state-of-the-art ML/AI techniques (including deep learning), and evaluate ...
... track record of successfully implementing AI/ML projects. Additional Information Contract of employment (permanent contract after trial period) - Possible hybrid model (2 days from the office weekly) - Option to participate in trainings and conferences - Staff travel benefits from day one - Creative work tax deduction - Multisport ...