Deskripsi Pekerjaan
Are you a visionary Senior AI/ML Engineer eager to push the boundaries of artificial intelligence? InnovateAI Solutions is at the forefront of AI innovation, building transformative products that redefine industries. We're seeking a highly skilled and passionate individual to join our dynamic team in San Francisco, CA. If you thrive on challenging problems, love to innovate, and want to see your work make a tangible impact, this is your opportunity to lead and contribute to groundbreaking AI initiatives.
At InnovateAI, you'll work with state-of-the-art technologies, collaborate with brilliant minds, and have the autonomy to explore novel solutions. We foster a culture of continuous learning, experimentation, and excellence. Join us and help us shape the future with intelligent systems!
Tanggung Jawab
- Design, develop, and deploy scalable machine learning models and AI systems into production environments.
- Lead end-to-end machine learning project lifecycles, from research and prototyping to deployment and monitoring.
- Collaborate with cross-functional teams including data scientists, product managers, and software engineers to define project requirements and deliver robust solutions.
- Conduct research and experiments to advance the state-of-the-art in AI/ML, evaluating new algorithms and techniques.
- Optimize AI/ML models for performance, efficiency, and scalability, utilizing cloud computing platforms.
- Mentor junior engineers and contribute to best practices in machine learning engineering and MLOps.
- Stay abreast of the latest developments in AI, machine learning, and related fields to drive innovation within the team.
- Ensure the quality, reliability, and maintainability of AI/ML systems through rigorous testing and code reviews.
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in developing and deploying machine learning models and AI-powered applications.
- Proficiency in Python and extensive experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
- Solid understanding of machine learning algorithms, deep learning architectures, and their practical applications.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools/practices for model deployment and lifecycle management.
- Strong problem-solving skills and the ability to tackle complex technical challenges independently and collaboratively.
- Excellent communication skills, capable of explaining complex technical concepts to both technical and non-technical audiences.
- Proven track record of delivering high-quality, scalable, and maintainable AI/ML solutions.