Machine Learning Engineer at Tiger Analytics

As a Machine Learning Engineer at Tiger Analytics, you will be instrumental in developing and deploying sophisticated machine learning models that solve complex business problems for Fortune 1000 companies. This role involves a blend of software engineering and data science, focusing on productionizing ML models, managing feature pipelines, and collaborating with cross-functional teams to deliver end-to-end AI solutions. You will work with cutting-edge technologies in a fast-paced environment, seeing your work drive tangible business impact within weeks. The role demands a proactive approach to problem-solving and a commitment to continuous learning and rapid experimentation. Your contributions will directly influence client success by transforming raw data into actionable insights and intelligent systems. You'll be part of autonomous squads, working on high-impact initiatives across diverse domains, from retail and healthcare to finance. The position requires a strong understanding of ML lifecycles, cloud platforms, and the ability to translate business needs into technical solutions. This is an opportunity to grow rapidly in your career, taking ownership of projects and seeing your innovations deployed at scale.