We are seeking a talented Applied AI Engineer to join our dynamic team in New York, NY. As a pivotal member of our organization, you will leverage your expertise in AI and machine learning technologies to drive innovative solutions and enhancements across our products and services. Our company, a leading player in the tech industry, values creativity and collaboration in a fast-paced work environment that fosters growth and impact in the field of artificial intelligence.Key ResponsibilitiesDevelop and implement machine learning models and algorithms to analyze complex data sets.Collaborate with cross-functional teams to integrate AI solutions into existing platforms and services.Conduct research on emerging trends and technologies in the AI/ML space to identify opportunities for innovation.Perform data preprocessing and feature engineering to optimize model performance.Participate in code reviews and provide constructive feedback to enhance team productivity.Monitor and evaluate the performance of deployed AI systems, ensuring they meet desired accuracy and efficiency.Document processes and methodologies to maintain clear and consistent communication within the team.Required and preferred qualificationsBachelor's Degree in Computer Science or a related field.Proficient in AI/ML technologies, including frameworks such as TensorFlow, PyTorch, or similar.Strong programming skills in Python or R, with experience in data manipulation and analysis libraries.Experience in deploying machine learning models to production environments.Familiarity with software development lifecycle and version control tools like Git.At least 3-5 years of relevant professional experience in AI/ML engineering.This is an exceptional opportunity to grow your career in a forward-thinking company that values innovation and collaboration. Our team culture emphasizes diversity, creativity, and inclusivity, allowing you to thrive in a supportive environment. We offer modern workplace benefits, including flexible work arrangements, competitive salaries, and opportunities for professional development through training programs and conferences.Typical tools used in our technical environment include cloud platforms such as AWS or Azure, data visualization tools, and collaborative software like JIRA and Confluence. You will be a part of a cohesive team that reports to the AI/ML Director and works closely with product managers, data scientists, and software engineers to deliver impactful projects.