Deskripsi Pekerjaan
Are you a visionary Senior AI Engineer ready to push the boundaries of artificial intelligence? CogniSync Labs is seeking a brilliant mind to join our elite team in San Francisco. We are a pioneering tech company dedicated to developing transformative AI solutions that redefine industries and improve lives. If you thrive on complex challenges, possess deep expertise in machine learning, deep learning, and natural language processing, and are eager to lead impactful projects from conception to deployment, this is your unparalleled opportunity.
At CogniSync Labs, you won't just be writing code; you'll be architecting the future. You'll work alongside world-class researchers and engineers, leveraging state-of-the-art technologies and contributing to a culture of innovation, collaboration, and continuous learning. We offer a dynamic environment where your ideas are valued, your growth is nurtured, and your contributions make a tangible difference. Join us and be at the forefront of the AI revolution!
Tanggung Jawab
- Design, develop, and deploy advanced AI/ML models and algorithms, focusing on scalability and performance.
- Lead the entire lifecycle of AI projects, from research and prototyping to production deployment and monitoring.
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to integrate AI solutions into core products.
- Mentor junior engineers and foster a culture of technical excellence and innovation.
- Stay abreast of the latest advancements in AI research and machine learning techniques, applying new findings to enhance our capabilities.
- Optimize existing AI models for efficiency, accuracy, and computational resource utilization.
- Contribute to the strategic direction of our AI roadmap and technology stack.
- Ensure the ethical and responsible development of AI systems.
Kualifikasi
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in developing and deploying AI/ML solutions in a production environment.
- Profound expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
- Strong understanding of deep learning architectures (CNNs, RNNs, Transformers) and their practical applications.
- Demonstrated experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Excellent problem-solving skills and the ability to tackle complex, ambiguous challenges.
- Exceptional communication and collaboration skills, with experience presenting technical concepts to diverse audiences.
- Proven track record of leading technical projects and mentoring team members.