Deskripsi Pekerjaan
Are you a visionary Senior AI/ML Software Engineer ready to shape the future of intelligent systems? CogniSphere Innovations is seeking a brilliant mind to join our elite team in San Francisco. We're at the forefront of developing groundbreaking AI solutions that transform industries, from predictive analytics to autonomous systems. If you thrive on complex challenges, love pioneering new technologies, and want to see your work make a tangible impact, this is your opportunity to lead and innovate.
At CogniSphere, we foster a culture of curiosity, collaboration, and continuous growth. You'll work alongside world-class engineers, data scientists, and researchers, pushing the boundaries of what's possible with artificial intelligence and machine learning. We offer a dynamic, fast-paced environment where your contributions are highly valued, and your career trajectory is limitless. Join us and contribute to a legacy of innovation!
Tanggung Jawab
- Design, develop, and deploy scalable AI/ML models and algorithms for various applications.
- Lead the entire machine learning lifecycle, from data ingestion and model training to deployment and monitoring.
- Collaborate with cross-functional teams to identify opportunities for AI integration and drive product innovation.
- Conduct research and stay abreast of the latest advancements in AI/ML, contributing to our knowledge base.
- Mentor junior engineers, providing technical guidance and fostering a culture of excellence.
- Optimize AI/ML model performance, ensuring high accuracy, efficiency, and reliability.
- Develop robust MLOps practices for seamless model integration and continuous delivery.
- Architect and implement robust, production-grade software solutions using modern engineering principles.
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 5+ years of professional experience in software development with a strong focus on AI/ML.
- Proficiency in Python and relevant AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Demonstrable experience with large-scale data processing and distributed computing (Spark, Hadoop).
- Solid understanding of machine learning principles, algorithms (e.g., deep learning, NLP, computer vision), and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) for deploying and managing AI/ML workloads.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.