Lead Machine Learning Engineer

Role Description: Analyze large volumes of data, identify patterns and find insights that are useful for consumers. Lead the design, development, and maintenance of scalable machine learning architectures and pipelines. Explore new models and improve existing ML models. Mentor and guide junior machine learning engineers, promoting best practices and technical excellence. Bring the best practice in ML with a scalable tech stack. Push to improve Status Quo by researching and adopting cutting-edge AI technology and techniques. Collaborate closely with cross-functional teams to align machine learning solutions with business goals. Role Requirements: Strong academic background (background in STEM is preferred). Prior experience in machine learning engineering or data science for 3-6 years. Proven track record of bringing machine learning models to production. Excellent problem-solving skills and the ability to work independently. Comfortable to take ownership over building new data & AI project. Strong communication and teamwork within team and other project stakeholders. Experience in leading and mentoring engineering teams. Proficiency in Finance and GenAI related projects with proven experience.