Deskripsi Pekerjaan
Are you a seasoned AI/ML engineer ready to shape the future? Innovate AI Solutions is seeking a brilliant and passionate Senior AI/ML Software Engineer to join our dynamic team in San Francisco. We're at the forefront of developing groundbreaking artificial intelligence and machine learning solutions that transform industries.
As a key member of our engineering team, you will design, develop, and deploy scalable AI/ML models and systems across various products. You'll work with cutting-edge technologies, collaborate with cross-functional teams, and contribute directly to our mission of leveraging AI for positive global impact. If you thrive in a challenging, innovative, and fast-paced environment where your work makes a tangible difference, we want to hear from you!
Tanggung Jawab
- Lead the design, development, and deployment of robust, scalable AI/ML models and algorithms.
- Collaborate with product managers and data scientists to translate complex business problems into technical AI/ML solutions.
- Develop and optimize ML pipelines, ensuring data quality, model training, and inference efficiency.
- Conduct rigorous experimentation, evaluate model performance, and implement improvements based on insights.
- Mentor junior engineers, provide technical guidance, and promote best practices in AI/ML development.
- Stay abreast of the latest advancements in AI/ML research and actively explore new technologies and methodologies.
- Participate in code reviews, ensuring high-quality, maintainable, and well-documented code.
- Contribute to the strategic planning and roadmap of AI/ML initiatives within the company.
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 developing and deploying AI/ML solutions in a production environment.
- Strong proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid 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 (CI/CD, model monitoring).
- Proficiency in data manipulation and analysis using tools like SQL, Pandas, and distributed processing frameworks (e.g., Spark).
- Excellent problem-solving skills, with a track record of delivering innovative and impactful AI/ML products.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.