About the job About Nurovant: Nurovant is a pioneering company in AI-driven education technology, dedicated to transforming the learning experience through innovative solutions. Our team is passionate about leveraging advanced machine learning techniques to enhance educational outcomes. We are looking for a Machine Learning Engineer with a robust research background to help us drive forward our mission with cutting-edge technology. Role Overview: As a Machine Learning Engineer at Nurovant, you will be pivotal in developing and optimizing machine learning models that power our educational tools. Your role will involve applying sophisticated algorithms and research methodologies, including item response theory, to advance our adaptive learning systems and analytics capabilities. Key Responsibilities: Algorithm Development: Design, implement, and fine-tune machine learning algorithms and models tailored for educational applications. Research and Application: Conduct research on state-of-the-art machine learning techniques, with a focus on item response theory and other relevant methodologies. Model Optimization: Enhance the performance and scalability of machine learning models through rigorous testing and iterative improvements. Data Analysis: Analyze educational datasets to extract actionable insights and improve model accuracy and relevance. Integration and Deployment: Integrate machine learning models into existing systems and ensure their effective deployment and functionality. Collaboration: Work closely with data scientists, software engineers, and educational experts to refine models and drive product development. Qualifications: Experience: 3+ years of experience in machine learning engineering or research, with a focus on applications in educational technology. Technical Skills: Expertise in programming languages such as Python or R, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Research Experience: Strong background in research, particularly with machine learning methodologies and item response theory. Data Expertise: Proven ability to handle and analyze large educational datasets, employing statistical and machine learning techniques. Algorithmic Skills: Experience in developing and optimizing algorithms for specific applications, with a solid understanding of performance metrics. Collaboration: Excellent communication skills and ability to work effectively with interdisciplinary teams. Problem-Solving: Advanced analytical skills and a proactive approach to solving complex problems. Preferred Qualifications: Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Familiarity with containerization and orchestration (e.g., Docker, Kubernetes). Knowledge of data visualization tools and techniques. Why Nurovant? Impact: Play a key role in projects that significantly impact the future of education. Growth: Access to opportunities for professional growth and development within a cutting-edge technology environment. Culture: Join a forward-thinking team that values innovation, research, and the transformative power of AI in education. #Working_us #work_visa_usa #visa_for_the_usa #work_visa #visa_jobs #united_states #us #h1b_jobs #h2b_jobs #h2a_jobs #eb3_jobs #j1_jobs #jobs_us #job_in_usa #green_card_us #immigration_usa #immigration_to_usa