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Role Overview: As an AI and ML Engineer with over 5 years of experience, you will be a valuable addition to our development team. Your main responsibility will be to design and implement AI, Machine Learning, Deep Learning, NLP, NLU, and NLG projects. You should have a strong understanding of deep learning architectures and algorithms, and be able to work independently to solve industry problems using methods such as recurrent neural networks, convolutional neural nets, and auto-encoders. Key Responsibilities: - Create technical designs for AI projects and implement them in production - Utilize open source libraries like xgboost, Tensor Flow, and Pytorch - Collaborate with business analysts and consultants to develop effective solutions - Work on Data science and Machine Learning projects using Python, R, Java, and SQL - Develop solutions using Python in AI/ML projects - Train and lead a team of technical developers - Possess knowledge of cloud solutions like Azure or AWS - Familiarity with container technology such as Docker - Work effectively with multi-cultural global teams and virtually - Establish strong relationships with project stakeholders Qualifications Required: - 5+ years of experience in implementing machine learning projects - Proficiency in Machine Learning, Python, and AIML Libraries - Ability to work with a diverse set of tools and technologies - Strong communication and interpersonal skills - Positive attitude towards continuous learning and development Additional Company Details: Travel: No (Note: The job description provided is based on the information available in the job posting) Role Overview: As an AI and ML Engineer with over 5 years of experience, you will be a valuable addition to our development team. Your main responsibility will be to design and implement AI, Machine Learning, Deep Learning, NLP, NLU, and NLG projects. You should have a strong understanding of deep learning architectures and algorithms, and be able to work independently to solve industry problems using methods such as recurrent neural networks, convolutional neural nets, and auto-encoders. Key Responsibilities: - Create technical designs for AI projects and implement them in production - Utilize open source libraries like xgboost, Tensor Flow, and Pytorch - Collaborate with business analysts and consultants to develop effective solutions - Work on Data science and Machine Learning projects using Python, R, Java, and SQL - Develop solutions using Python in AI/ML projects - Train and lead a team of technical developers - Possess knowledge of cloud solutions like Azure or AWS - Familiarity with container technology such as Docker - Work effectively with multi-cultural global teams and virtually - Establish strong relationships with project stakeholders Qualifications Required: - 5+ years of experience in implementing machine learning projects - Proficiency in Machine Learning, Python, and AIML Libraries - Ability to work with a diverse set of tools and technologies - Strong communication and interpersonal skills - Positive attitude towards continuous learning and development Additional Company Details: Travel: No (Note: The job description provided is based on the information available in the job posting)
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