ML Engineer

Job Description

About The Opportunity A dynamic player in the Artificial Intelligence and Machine Learning sector, we specialize in developing cutting-edge solutions that drive innovation and enhance decision-making. Our team is dedicated to pushing the boundaries of technology and we are looking for an Applied AI Researcher to join our on-site team in India. As an integral member of our research division, you will be at the forefront of translating complex AI concepts into practical applications that deliver real-world impact. Role & Responsibilities Conduct original research on AI applications, focusing on machine learning algorithms and data-driven methodologies. Design, implement, and evaluate innovative algorithms to solve complex problems in various domains. Collaborate with cross-functional teams to integrate research findings into production systems and prototypes. Analyze and interpret large datasets to extract meaningful insights and validate research hypotheses. Stay current with the latest developments in the AI field and contribute to scholarly publications. Mentor junior researchers and contribute to a collaborative and stimulating research environment. Skills & Qualifications Must-Have Master's degree or PhD in Computer Science, Artificial Intelligence, or related field. Strong knowledge of machine learning and AI algorithms. Proficiency in Python programming for AI applications. Experience in statistical modeling and data analysis techniques. Hands-on experience with natural language processing (NLP) methods. Preferred Familiarity with deep learning frameworks such as TensorFlow or PyTorch. Experience in conducting peer-reviewed research and publications. Excellent problem-solving skills and creativity. Benefits & Culture Highlights Collaborative and innovative work environment that nurtures creativity. Opportunities for professional development and continuous learning. Supportive team culture valuing diversity and inclusion. Skills: machine learning,python programming,natural language processing,collaboration,statistical modeling,deep learning,ai algorithms,problem solving,data analysis