Deskripsi Pekerjaan
Are you a visionary AI/Machine Learning Engineer passionate about pushing the boundaries of artificial intelligence? Innovate AI Solutions is seeking a Senior AI/ML Engineer to join our dynamic team in the heart of San Francisco. We're on a mission to build groundbreaking AI products that solve complex real-world problems and redefine industries.
As a Senior AI/ML Engineer, you will be at the forefront of designing, developing, and deploying advanced machine learning models and systems. You'll work with cutting-edge technologies, collaborate with brilliant minds, and have a tangible impact on our product roadmap. This is an unparalleled opportunity to contribute to high-impact projects, from concept to production, in a fast-paced and innovative environment.
If you thrive on challenge, possess a deep understanding of ML algorithms, and are eager to turn innovative ideas into robust, scalable solutions, we invite you to explore this exciting role. Join us and help shape the future of AI!
Tanggung Jawab
- Lead the design, development, and deployment of scalable machine learning models and algorithms.
- Conduct rigorous research and experimentation to identify optimal ML solutions for complex problems.
- Collaborate with cross-functional teams (Product, Engineering, Data Science) to integrate AI capabilities into core products.
- Develop and maintain robust MLOps pipelines for model training, evaluation, and deployment.
- Optimize existing models for performance, efficiency, and scalability in production environments.
- Mentor junior engineers and contribute to fostering a culture of technical excellence and innovation.
- Stay abreast of the latest advancements in AI/ML research and apply relevant insights to projects.
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 machine learning models in a production setting.
- Proficiency in Python and extensive experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of various machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., Kubernetes, Docker, MLflow).
- Demonstrated ability to lead technical projects, make architectural decisions, and drive initiatives to completion.
- Excellent problem-solving skills, critical thinking, and a strong analytical mindset.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts.