Deskripsi Pekerjaan
InnovateAI Solutions is at the forefront of AI innovation, building intelligent systems that reshape industries. We're searching for a highly skilled and passionate Senior AI Engineer to join our dynamic team in San Francisco. This role offers the unique opportunity to design, develop, and deploy cutting-edge artificial intelligence solutions that address complex real-world challenges. If you thrive in a fast-paced environment, possess deep expertise in machine learning, deep learning, and natural language processing, and are eager to contribute to groundbreaking projects, we want to hear from you.
As a Senior AI Engineer, you will play a pivotal role in our product development lifecycle, from conceptualization and research to implementation and optimization. You'll work alongside a collaborative team of engineers, data scientists, and product managers to deliver scalable and robust AI-powered applications. This is an exciting opportunity to leave a significant impact on our products and our growing user base.
Tanggung Jawab
- Lead the design, development, and deployment of advanced AI/ML models and algorithms.
- Conduct research and experimentation to identify optimal AI solutions for various business problems.
- Collaborate with cross-functional teams to integrate AI capabilities into existing and new products.
- Optimize AI models for performance, scalability, and efficiency in production environments.
- Mentor junior engineers and contribute to the team's knowledge sharing and best practices.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Develop and maintain robust MLOps pipelines for model lifecycle management.
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 setting.
- Proficiency in Python and relevant AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and ability to translate complex business requirements into technical solutions.
- Solid understanding of data structures, algorithms, and software design principles.
- Exceptional communication and collaboration skills.