Deskripsi Pekerjaan
Are you a passionate and experienced AI/Machine Learning Engineer looking to make a significant impact? InnovateAI Solutions is seeking a talented Senior AI/ML Engineer to join our innovative team in San Francisco. We are at the forefront of developing groundbreaking AI-driven products that are transforming industries. If you thrive on solving complex problems, building scalable machine learning systems, and pushing the boundaries of artificial intelligence, we want to hear from you.
As a Senior AI/ML Engineer, you will play a critical role in designing, developing, and deploying advanced machine learning models and algorithms. You will work with large datasets, cutting-edge technologies, and collaborate closely with product managers, data scientists, and software engineers to bring intelligent features to life. This is an unparalleled opportunity to contribute to high-impact projects and shape the future of AI.
Tanggung Jawab
- Design, develop, and deploy robust, scalable, and high-performance machine learning models and algorithms.
- Lead the end-to-end lifecycle of ML projects, from data exploration and model prototyping to deployment and monitoring in production.
- Collaborate with cross-functional teams to identify opportunities for AI integration and define technical requirements.
- Optimize existing ML models and systems for performance, efficiency, and accuracy.
- Conduct rigorous experimentation, evaluate model performance, and present findings to technical and non-technical stakeholders.
- Stay abreast of the latest advancements in AI/ML research and apply new techniques to enhance our product offerings.
- Mentor junior engineers and contribute to a culture of continuous learning and innovation.
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 environment.
- Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
- Strong understanding of machine learning principles, algorithms (e.g., deep learning, NLP, computer vision), and statistical modeling.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices for model deployment and management.
- Solid engineering fundamentals, including data structures, algorithms, and software design patterns.
- Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.
- Proven ability to communicate complex technical concepts effectively to diverse audiences.