Leading Large Language Model Engineer
2 days ago
About our company
We enable safe transactions, productive work, and free travel by empowering the trusted identities of people, places, and things.
With over 4,500 worldwide employees, we are a leading software company that thrives on innovation and excellence.
Job Opportunity: Machine Learning Engineer Role
- We design and implement machine learning pipelines and models, including large language model-based solutions to solve complex problems.
- Our team translates prototypes and research into production-grade code and deployable components, ensuring seamless integration and deployment.
- We develop and fine-tune foundation models and large language models for specific use cases, driving business growth and efficiency.
- Our engineers train and optimize numeric machine-learning models to achieve optimal results.
- We apply prompt engineering and build agent-based architectures for complex task automation, streamlining processes and enhancing productivity.
- Our team integrates models into backend systems and supports real-time/batch inference services, ensuring robust and scalable infrastructure.
- We work with guardrails and observability tools to ensure safe and robust use of generative AI, mitigating risks and ensuring compliance.
- Our team stays up-to-date with advances in AI and emerging large language model ecosystems, leveraging cutting-edge technologies to drive innovation.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is required.
- At least 3 years of experience building and deploying machine learning models in production environments is necessary.
- Hands-on experience with large language model solution development and integration is essential.
- A solid understanding of modern large language model tools and frameworks is crucial.
- Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers is required.
- A deep understanding of agent architectures, prompt engineering, and large language model guardrails is vital.
- Experience with CI/CD practices, version control, testing, and model governance is necessary.
- Comfortable working with cloud platforms and container technologies is essential.
What We Offer
- A competitive salary and rewards package that recognizes individual contributions.
- An attractive benefits and annual leave offering that promotes work-life balance.
- A vibrant, welcoming, and inclusive culture that fosters collaboration and creativity.
- Extensive career development opportunities and resources that support professional growth.
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