An ideal candidate has demonstrated a strong research background and technical leadership in developing algorithms and softwares. The position requires a willingness to learn new technologies, solve complex problems and drive innovative solutions.
KEY RESPONSIBILITIES:
- Utilize and create advanced AI and machine learning algorithms, including one-shot/few-shot learning,supervised/unsupervisedlearning, deep learning, and reinforcement learning, to address complex problems across various data modalities
- Design, prototype, validate, and implement high-quality, scalable algorithms with a strong focus on performance and accuracy.
- Implement algorithm designs using Python, TensorFlow, PyTorch, and C/C++, leveraging common machine learning and deep learning libraries and frameworks.
- Exhibit strong attention to detail, analytical thinking, and problem-solving abilities, ensuring robust and effective solutions.
- Thrive in a dynamic, startup-like setting, contributing to high-visibility initiatives and adapting to evolving challenges. Act as a resource for colleagues, fostering a collaborative and supportive team environment.
- Collaborate with MLOPs, software engineers and product managers to productize and optimize algorithmic pipelines, integrating them seamlessly into our software solutions
TECHNICAL SKILLS:
- Proficiency in advance AI and Machine Learning algorithms and its fundamentals
- Research experience in state-of-the-art techniques in Machine Learning, Deep Learning, Computer Vision and Generative AI
- Knowledge of frameworks such as PyTorch, TensorFlow or Keras
- Knowledge of industry best practices and competitive landscape
- Strong written and verbal presentation skills, both technical and non-technical audiences
REQUIREMENTS/EDUCATION:
- MS or Ph.D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field
Master's Degree
7 - 10 Years
Full time
Assignee / Regular