Machine Learning Innovation Leader
Há 2 dias
Pioneering artificial intelligence and machine learning capabilities requires a talented team of innovators.
Job Overview- We're seeking a Senior Machine Learning Engineer to spearhead our AI initiatives.
- This role involves collaborating with a small, highly skilled team that thrives on learning, coding, and driving technical innovation.
- Explore novel machine learning opportunities, develop proof-of-concepts, and integrate them into our platform.
- Design, implement, and deploy machine learning models enhancing cost, price, and sourcing options for customers and suppliers.
- Lead the evaluation of emerging technologies, identify areas for improvement, and develop new features ensuring the reliability and scalability of our platform.
- Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations.
- Monitor machine learning models and troubleshoot issues as they arise.
- Contribute to documentation and knowledge base to help other teams understand and use our AI effectively.
- Experience with cutting-edge ML modeling techniques and approaches like transformers, self-supervised pre-training, generative modeling, LLMs, etc.
- Hands-on experience with large-scale data processing using deep learning frameworks like PyTorch or TensorFlow.
- Able to bridge state-of-the-art approaches to real-world impact.
- Cloud-native software expertise with hands-on experience with containers, container orchestration, and distributed systems.
- Self-driven engineer who can own problems and deliver solutions.
- Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing.
- Data's at the heart of our systems - you should feel the same way.
- Experience building and consuming CI/CD pipelines.
- Familiarity with the command line and *nix systems.
- At least 5 years working experience in engineering teams building large-scale ML-driven user-facing products.
- At least 3 years experience leading cross-team engineering efforts.
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