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.