Deskripsi Pekerjaan
Are you a visionary Senior AI/ML Engineer ready to revolutionize the tech landscape? Innovate AI Solutions, a leader in cutting-edge artificial intelligence, is seeking a talented and experienced individual to join our dynamic team in San Francisco. We're on the front lines of innovation, developing next-generation AI solutions that redefine industries and improve lives.
As a Senior AI/ML Engineer, you will be instrumental in designing, developing, and deploying robust machine learning models and systems. You'll work with massive datasets, state-of-the-art frameworks, and cloud technologies to bring complex AI projects from concept to production. This is an unparalleled opportunity to lead impactful initiatives, mentor junior engineers, and contribute significantly to our product roadmap. If you thrive in a collaborative environment where your ideas are valued and your work directly shapes the future, we want to hear from you.
Tanggung Jawab
- Lead the design, development, and deployment of scalable and robust AI/ML models and systems.
- Conduct research and experimentation with novel machine learning techniques to solve complex business problems.
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to integrate AI solutions.
- Optimize existing machine learning pipelines for performance, scalability, and cost-efficiency.
- Mentor junior engineers, foster a culture of technical excellence, and contribute to code reviews and architectural discussions.
- Develop and maintain production-ready code, ensuring high quality, reliability, and security standards.
- Stay abreast of the latest advancements in AI/ML research and translate relevant findings into practical applications.
- Champion MLOps best practices to streamline model deployment, monitoring, and management.
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience developing and deploying machine learning models in production environments.
- Proficiency in Python and extensive experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
- Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and their practical applications.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment, monitoring, and versioning.
- Solid grasp of data structures, algorithms, and software engineering best practices.
- Excellent problem-solving skills and the ability to tackle complex, ambiguous technical challenges.
- Strong communication and collaboration skills, with a proven ability to work effectively in a team-oriented setting.