Machine Learning Developer

As a Machine Learning Developer, your role will involve developing and deploying machine learning models. You will be expected to have a Bachelor's degree in computer science, Data Science, Statistics, or a related field. A master's degree or higher is preferred. Additionally, you should have more than 3 years of experience in machine learning engineering or a related role. Key Responsibilities: - Proficiency in programming languages such as Python or R. - Experience with machine learning frameworks like Go, TensorFlow, PyTorch, and scikit-learn. - Familiarity with Azure Cognitive services. - Proficiency in data processing and manipulation tools and libraries, such as pandas and NumPy. - Strong analytical and problem-solving skills to handle complex and large-scale datasets. - Experience in deploying machine learning models to production environments using containerization technologies like Docker and cloud platforms, preferably Microsoft Azure. - Excellent verbal and written communication skills to explain technical concepts to non-technical collaborators. Qualifications Required: - Bachelor's degree in computer science, Data Science, Statistics, or related field (Master's degree preferred). - More than 3 years of experience in machine learning engineering or a related role. - Proficiency in Python or R, along with experience in machine learning frameworks. - Experience with Azure Cognitive services. - Strong analytical and problem-solving skills. - Experience in deploying machine learning models to production environments. - Excellent communication skills. Additionally, the preferred qualifications that set you apart include: - Prior experience in the engineering domain. - Experience working with teams in Scaled Agile Framework (SAFe). - Possession of relevant certifications in data science specializing in AI. - Familiarity with version control systems like Git and CI/CD pipelines. - Understanding of standard processes in software development and methodologies. Please note that this is a full-time position with the work location being in person.,