Lead ML Engineer

As a Machine Learning Engineer with over 6 years of experience, you will be pivotal in developing and implementing state-of-the-art artificial intelligence solutions. Your role will revolve around creating advanced machine learning models, enhancing existing systems, and pioneering innovation in AI technology. Key Responsibilities: - Transform data science prototypes and design machine learning systems. - Research, implement, and optimize ML algorithms and tools. - Develop machine learning applications based on project requirements. - Choose suitable datasets and data representation techniques. - Conduct machine learning tests, experiments, and statistical analysis. - Train and retrain systems as needed, extending ML libraries and frameworks. - Stay updated on the latest developments in the field. - Lead and manage a research team of 3-4 individuals. Qualifications Required: - Proven track record as a Machine Learning Engineer or in a similar role. - Proficiency in data structures, data modeling, and software architecture. - Strong grasp of mathematics, probability, statistics, and algorithms. - Coding skills in .NET, Java, and R to produce robust code. - Familiarity with machine learning frameworks like ML.NET, Deeplearning4j, and TensorFlow. - Excellent communication skills and the ability to lead a team. - Exceptional analytical and problem-solving abilities. - Bachelor's degree in Computer Science, Mathematics, or related field; a Master's degree is advantageous. Please note that the above summary outlines your primary responsibilities and qualifications, but it is not an exhaustive list of duties. If you are excited about pushing the boundaries of AI technology and leading innovation in the machine learning domain, we encourage you to share your CV and contact details with us at jobs@motadata.com. As a Machine Learning Engineer with over 6 years of experience, you will be pivotal in developing and implementing state-of-the-art artificial intelligence solutions. Your role will revolve around creating advanced machine learning models, enhancing existing systems, and pioneering innovation in AI technology. Key Responsibilities: - Transform data science prototypes and design machine learning systems. - Research, implement, and optimize ML algorithms and tools. - Develop machine learning applications based on project requirements. - Choose suitable datasets and data representation techniques. - Conduct machine learning tests, experiments, and statistical analysis. - Train and retrain systems as needed, extending ML libraries and frameworks. - Stay updated on the latest developments in the field. - Lead and manage a research team of 3-4 individuals. Qualifications Required: - Proven track record as a Machine Learning Engineer or in a similar role. - Proficiency in data structures, data modeling, and software architecture. - Strong grasp of mathematics, probability, statistics, and algorithms. - Coding skills in .NET, Java, and R to produce robust code. - Familiarity with machine learning frameworks like ML.NET, Deeplearning4j, and TensorFlow. - Excellent communication skills and the ability to lead a team. - Exceptional analytical and problem-solving abilities. - Bachelor's degree in Computer Science, Mathematics, or related field; a Master's degree is advantageous. Please note that the above summary outlines your primary responsibilities and qualifications, but it is not an exhaustive list of duties. If you are excited about pushing the boundaries of AI technology and leading innovation in the machine learning domain, we encourage you to share your CV and contact details with us at jobs@motadata.com.