Senior Machine Learning Engineer with AI Expertise
1 month ago
About mavQ and the Role:
mavQ is a pioneering AI platform that empowers organizations to build cutting-edge, user-friendly applications for digital transformation and valuable insights. As a senior member of our team, you will be part of a dynamic group that drives innovation in AI technology.
Key Responsibilities:
- Develop and productionalize machine learning models for customers and products, ensuring seamless integration with our platform.
- Manage model deployment through CI/CD pipelines, monitor performance, and utilize log analysis, leveraging Kubernetes expertise.
- Conduct research and development in Large Language Models (LLMs) and Transformer models for images, video, text, audio, and structured data domains.
- Provide technical reviews of AI models and implementations, offering feedback, mentorship, and optimization best practices to the team.
- Maintain and update production AI models based on stakeholder feedback, ensuring continuous improvement.
- Define and implement evaluation strategies for each model, demonstrating applicability and performance.
What You Will Bring:
- A bachelor's or master's degree in a quantitative field such as Computer Science, IT, Stats, or Maths.
- 5-7 years of experience in AI, with successful implementation of industry-grade AI solutions.
- Expertise in multi-modal neural networks, transformers, computer vision, document AI, and emerging AI areas.
- Proficiency in programming languages like Python, with experience in toolkits such as TensorFlow, Keras, PyTorch, or SciKit.
- Ability to collaborate with a team of AI engineers in an agile development environment.
What We Offer:
- A unique opportunity to work on cutting-edge AI projects and contribute to the growth of mavQ.
- Competitive compensation and benefits package, including health insurance, life insurance, and retirement plans.
- Professional development opportunities through various certifications on technology stacks like Google Cloud, AWS, and others.
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