AI / ML Engineer

Role Overview: As an ML/AI Engineer with hands-on experience in working with Time Series Data, layering of data, and adopting complex parameters, your role will primarily involve handling customer data, ETL operations, and converting machine learning models into APIs. You should have at least 3-5 years of experience in this domain. Key Responsibilities: - Create data funnels to feed into models via web, structured, and unstructured data - Maintain coding standards using SDLC, Git, AWS deployments, etc. - Keep abreast of developments in the field - Deploy models in production and monitor them - Document processes and logic - Take ownership of the solution from code to deployment and performance Qualifications Required: - Hands-on experience working with Time Series Data - Proficiency in handling customer data and ETL operations - Experience in converting machine learning models into APIs (Note: No additional details of the company were present in the JD) Role Overview: As an ML/AI Engineer with hands-on experience in working with Time Series Data, layering of data, and adopting complex parameters, your role will primarily involve handling customer data, ETL operations, and converting machine learning models into APIs. You should have at least 3-5 years of experience in this domain. Key Responsibilities: - Create data funnels to feed into models via web, structured, and unstructured data - Maintain coding standards using SDLC, Git, AWS deployments, etc. - Keep abreast of developments in the field - Deploy models in production and monitor them - Document processes and logic - Take ownership of the solution from code to deployment and performance Qualifications Required: - Hands-on experience working with Time Series Data - Proficiency in handling customer data and ETL operations - Experience in converting machine learning models into APIs (Note: No additional details of the company were present in the JD)