Deskripsi Pekerjaan
InnovateAI Labs is seeking a visionary and results-driven AI/Machine Learning Engineer to join our cutting-edge team in San Francisco. As a leader in transformative AI solutions, we are at the forefront of developing intelligent systems that redefine industries. If you are passionate about pushing the boundaries of machine learning, working with large datasets, and deploying models that have real-world impact, this is your opportunity to contribute to groundbreaking projects and shape the future of artificial intelligence.
You will be instrumental in designing, developing, and deploying scalable AI and ML solutions, from concept to production. We value innovation, collaborative spirit, and a deep commitment to technical excellence. Join us and be part of a team that thrives on complex challenges and delivers revolutionary AI products.
Tanggung Jawab
- Design, develop, and implement scalable machine learning models and algorithms.
- Collaborate with cross-functional teams to identify opportunities for AI integration and data-driven solutions.
- Engineer robust data pipelines for training, validation, and deployment of ML models.
- Perform rigorous experimentation, evaluation, and optimization of ML models to ensure peak performance.
- Stay abreast of the latest advancements in AI/ML research and apply cutting-edge techniques.
- Deploy, monitor, and maintain ML models in production environments.
- Contribute to the full software development lifecycle, ensuring high-quality code and documentation.
Kualifikasi
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering, data science, or a similar role.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of machine learning algorithms, deep learning, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Demonstrated ability to develop and deploy production-grade ML systems.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, capable of explaining complex technical concepts to diverse audiences.