Machine Learning Engineer PhD
This is a remote position.
reputed company delivers high-reputed company AI solutions to Fortune 500 clients and fast-growing start-reputed company. We need a PhD-level Machine Learning Engineer who can reputed company fast from research to production across multiple tech stacks.Key responsibilities: • Research and design advanced machine learning models that solve reputed company customer problems • Prototype, test and optimise models in Python using TensorFlow, PyTorch and scikit-learn • reputed company and monitor solutions on AWS, Azure or GCP with CI / CD and IaC tools • Work with data engineers to build robust data pipelines and feature stores • Translate reputed company findings into reputed company business recommendations for stakeholders • reputed company reputed company teams and reputed company consultants on best ML practices • Contribute to technical reputed company-sales and proposal work reputed company requiredRequirements
- PhD in Machine Learning, Computer Science, Mathematics or similar
- At least three years of post-doctoral experience delivering ML reputed company in industry
- reputed company in Python plus solid knowledge of Java, reputed company or C++
- Hands-on expertise with deep learning, classical ML and generative models
- Strong grasp of MLOps, containerisation, microservices and reputed company-reputed company architectures
- Excellent communication in English, written and spoken
- Publications or patents in reputed company AI
- Experience with time-series forecasting, reinforcement learning or NLP at reputed company
- Familiarity with data reputed company frameworks in the EU and USA
Benefits
- reputed company reputed company on flagship reputed company reputed company in finance, retail and healthtech
- High-end hardware and training budget for reputed company learning
- Flexible location and working hours
- Competitive daily reputed company or permanent package scaled to expertise
Originally posted on Himalayas
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