Senior Machine Learning Engineer

You will be part of the Core Algorithms team at Nuacem AI, where you will be applying neural networks and advanced machine learning algorithms to enhance the natural language understanding and processing capabilities of the platform. Your role will involve utilizing your knowledge and expertise in deep learning technologies to improve software prototypes and analytic models. Working alongside top AI and Machine Learning Engineers and Data Scientists in the industry, you will be responsible for understanding and interpreting end-user intent and providing precise answers to their questions. Key Responsibilities: - Apply neural networks and advanced machine learning algorithms to enhance natural language understanding and processing. - Utilize deep learning technologies to improve software prototypes and analytic models. - Collaborate with AI and Machine Learning Engineers and Data Scientists to understand end-user intent and provide accurate responses. Qualifications Required: - 4-6 years of experience in machine learning, large scale data processing, and analytics. - Profound understanding of deep learning algorithms and workflows. - Strong background in algorithm development for mining patterns from large scale data. - Excellent grasp of key metrics influencing deep learning algorithms. - Expertise in common neural network architectures. - Ability to apply complex technologies to solve real-world problems and consumer use cases. - Good communication skills. - Proficiency in Python and C/C++. - B.Tech or M.S. or Ph.D. in Computer Science, preferably with a strong coursework in Artificial Intelligence. You will be part of the Core Algorithms team at Nuacem AI, where you will be applying neural networks and advanced machine learning algorithms to enhance the natural language understanding and processing capabilities of the platform. Your role will involve utilizing your knowledge and expertise in deep learning technologies to improve software prototypes and analytic models. Working alongside top AI and Machine Learning Engineers and Data Scientists in the industry, you will be responsible for understanding and interpreting end-user intent and providing precise answers to their questions. Key Responsibilities: - Apply neural networks and advanced machine learning algorithms to enhance natural language understanding and processing. - Utilize deep learning technologies to improve software prototypes and analytic models. - Collaborate with AI and Machine Learning Engineers and Data Scientists to understand end-user intent and provide accurate responses. Qualifications Required: - 4-6 years of experience in machine learning, large scale data processing, and analytics. - Profound understanding of deep learning algorithms and workflows. - Strong background in algorithm development for mining patterns from large scale data. - Excellent grasp of key metrics influencing deep learning algorithms. - Expertise in common neural network architectures. - Ability to apply complex technologies to solve real-world problems and consumer use cases. - Good communication skills. - Proficiency in Python and C/C++. - B.Tech or M.S. or Ph.D. in Computer Science, preferably with a strong coursework in Artificial Intelligence.