AI Engineer Jobs

Responsibilities: - Set up and run machine learning systems and AI infrastructure to automate predictive models - Modify data science prototypes and apply relevant ML algorithms and tools - Auto-tag images and text-to-speech to transform unstructured data into valuable information - Run tests, perform statistical analysis, and interpret test results to help product managers and stakeholders - Keep current with machine learning and AI research developments relevant to the business domain - Document understandable machine learning processes, solution architecture, and lessons learned - Identify and prioritize key business areas where AI solutions can induce notable market benefit - Analyze AI and ML solutions to solve complex problems Requirements: - Bachelor’s/Master’s degree in computer science, data engineering, Mathematics, IT, or relevant field - 3+ years of experience as an AI or ML Engineer working on enterprise products (rare exceptions for super efficient days) - Expert level proficiency in programming languages and numeric computing platforms, including Python, Java, R, SAS, and MatLab - In-depth knowledge of ML frameworks, libraries, data structures, and software architecture - Expertise in REST API development, RDBMS or NoSQL databases, and optimizations - Sound knowledge of basic algorithms, design principles, and AI/ML best practices Preferred skills: - Experiences in data modeling on platforms, like Theano, TensorFlow, or Keras - Work experience in Cloud environments - Knowledge in innovation accelerators - Knowledge of big data tools and technologies - Notable analytical and problem-solving skills - Outstanding time-management and organizational skills