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Machine Learning Engineer
4 days ago
Principal Machine Learning Engineer (Multimodal Models, LLMs, and AR)
Role Overview: Are you a visionary in machine learning with a passion for advancing AI technologies? We are seeking a Principal Machine Learning Engineer to elevate our data science and AI capabilities, with a particular focus on multimodal models, large language models (LLMs), and augmented reality (AR) applications.
Key Responsibilities:
Leadership: Lead the development and deployment of advanced Computer Vision models.
Innovation: Drive the exploration and integration of multimodal models that combine text, image, and other data types.
MLOps Implementation: Implement and manage MLOps practices to enhance model deployment and monitoring.
Mentorship: Provide guidance and mentorship to junior data scientists and engineers, fostering a collaborative and growth-oriented environment.
Cross-Functional Collaboration: Work closely with various teams to integrate AI solutions into diverse products and services.
Best Practices: Establish and document best practices for AI projects to ensure high standards and reproducibility.
Research & Development: Conduct cutting-edge research to push the boundaries of multimodal models, LLMs, and AR technologies.
Optimization: Optimize the performance and scalability of machine learning models.
Compliance: Ensure adherence to data privacy and security regulations.
Qualifications:
Masters or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field.
Over 5 years of experience in machine learning, with a specialization in multimodal models and Computer Vision.
Deep expertise in deep learning frameworks, especially PyTorch.
Extensive experience with MLOps tools and practices.
Proven leadership skills with the ability to mentor and develop team members.
Excellent communication and collaboration abilities.
Strong problem-solving skills and meticulous attention to detail.
Proficiency in working with large language models (LLMs) and their applications.
Familiarity with augmented reality (AR) technologies.
Preferred experience with cloud platforms like AWS, Azure, or GCP.
Why Join Us?
Cutting-Edge Projects: Engage in innovative projects that challenge and expand your skills in AI and machine learning.
Growth Opportunities: Enjoy opportunities for professional development and career advancement in a dynamic environment.
Collaborative Culture: Be part of a team that values collaboration, innovation, and excellence.
Competitive Compensation: Receive a competitive salary package that reflects your expertise and contributions.
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