Deskripsi Pekerjaan
Are you a visionary AI Engineer eager to shape the future? Innovate AI Solutions is seeking a talented and experienced Senior AI Engineer to join our dynamic team in San Francisco. We're at the forefront of developing groundbreaking artificial intelligence technologies that solve complex real-world problems and drive significant impact across various industries. If you possess a deep understanding of machine learning principles, a knack for innovative problem-solving, and a passion for building scalable AI systems, we want to hear from you!
As a Senior AI Engineer, you will play a pivotal role in designing, developing, and deploying advanced AI models and solutions. You will work on cutting-edge projects, from concept to production, collaborating with cross-functional teams including data scientists, software engineers, and product managers. This is an unparalleled opportunity to contribute to high-impact products, leverage state-of-the-art tools, and grow your career in a fast-paced, collaborative environment.
Tanggung Jawab
- Design, develop, and implement highly scalable and robust AI/ML models and algorithms.
- Collaborate with data scientists and product managers to define AI project requirements and scope.
- Architect and build production-ready machine learning pipelines, ensuring efficiency and reliability.
- Conduct rigorous testing, evaluation, and optimization of AI models to ensure peak performance.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Mentor junior engineers and contribute to a culture of continuous learning and innovation.
- Participate in code reviews, technical discussions, and contribute to overall system architecture.
- Troubleshoot and resolve complex technical issues related to AI model deployment and performance.
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 AI/ML model development and deployment.
- Proficiency in Python and strong experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn.
- Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) for deploying and managing AI solutions.
- Strong problem-solving skills and ability to translate research into production-ready code.
- Excellent communication and teamwork skills, with experience collaborating in agile environments.
- Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow) is a plus.