10+ years of experience in the field of research on machine learning
M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning.
Proven track record of conducting ML research, demonstrated through publications or contributions to the machine learning community.
Strong theoretical knowledge and practical experience in machine learning algorithms, including deep learning, reinforcement learning and other ML techniques.
Proficiency in programming languages like Python, R, or Java, and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Solid understanding of data structures, algorithms, and optimization techniques.
Objectives & Responsibilities
Technical Skills
Conduct in-depth research and development of machine learning algorithms and models.
Explore and exper iment with novel approaches to solve complex business problems using AI-ML techniques.
Stay updated with the latest advancements in the field of machine learning and contribute to the adoption of cutting-edge technologies.
Design and implement machine learning experiments. Analyze and interpret results to derive meaningful insights.
Participate in the development and improvement of existing machine learning models and frameworks.
Evaluate and fine-tune model performance using various metrics and optimization techniques.
Work on large datasets to pre-process, clean, and validate data for training and testing machine learning models.
Experience with big data processing tools and distributed computing frameworks is a plus.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Manager - Machine LearningEmployement Type: Full time