AWS Analytics and Machine Learning Engineer

As a global leader in AI and analytics, Tiger Analytics is dedicated to helping Fortune 1000 companies tackle their toughest challenges. We provide full-stack AI and analytics services and solutions to empower businesses to achieve real outcomes and value at scale. Our mission is to expand the possibilities of AI and analytics to assist enterprises in navigating uncertainty and making decisive progress. Our team leaders are recognized in Top 10 and 40 Under 40 lists, showcasing our commitment to innovation and excellence. Role Overview: Your typical day at Tiger Analytics will involve the following responsibilities: - Having 6+ years of relevant experience in Data Science - Proficiency in structured Python - Proficiency in at least one cloud technology such as AWS, Azure, or GCP is mandatory - Following good software engineering practices and demonstrating an interest in building reliable and robust software - Working knowledge of Linux or Unix environments, preferably in a cloud environment - Mandatory experience in model deployment and model monitoring - Holding a B.Tech degree from a Tier-1 college / M.E Qualification Required: Every individual possesses a unique set of skills and qualities, so even if you do not meet all the criteria for the role currently, we encourage you to apply as there may be a suitable or unique role for you in the future. Please note that the designation will be based on your expertise and experience, and our compensation packages are competitive within the industry. Additional Details: In addition to the challenging and rewarding work environment, Tiger Analytics offers the following benefits: - Health insurance coverage for yourself and your family - Access to a virtual wellness platform - Participation in knowledge communities We look forward to the possibility of welcoming you to our team and invite you to apply for the opportunity to contribute to our innovative and dynamic company. As a global leader in AI and analytics, Tiger Analytics is dedicated to helping Fortune 1000 companies tackle their toughest challenges. We provide full-stack AI and analytics services and solutions to empower businesses to achieve real outcomes and value at scale. Our mission is to expand the possibilities of AI and analytics to assist enterprises in navigating uncertainty and making decisive progress. Our team leaders are recognized in Top 10 and 40 Under 40 lists, showcasing our commitment to innovation and excellence. Role Overview: Your typical day at Tiger Analytics will involve the following responsibilities: - Having 6+ years of relevant experience in Data Science - Proficiency in structured Python - Proficiency in at least one cloud technology such as AWS, Azure, or GCP is mandatory - Following good software engineering practices and demonstrating an interest in building reliable and robust software - Working knowledge of Linux or Unix environments, preferably in a cloud environment - Mandatory experience in model deployment and model monitoring - Holding a B.Tech degree from a Tier-1 college / M.E Qualification Required: Every individual possesses a unique set of skills and qualities, so even if you do not meet all the criteria for the role currently, we encourage you to apply as there may be a suitable or unique role for you in the future. Please note that the designation will be based on your expertise and experience, and our compensation packages are competitive within the industry. Additional Details: In addition to the challenging and rewarding work environment, Tiger Analytics offers the following benefits: - Health insurance coverage for yourself and your family - Access to a virtual wellness platform - Participation in knowledge communities We look forward to the possibility of welcoming you to our team and invite you to apply for the opportunity to contribute to our innovative and dynamic company.