Lead Software Engineer, Machine Learning

Bangalore / Chennai

Technology – Engineering /

Full-Time /

Hybrid

Join our team at ASAPP, where we're developing transformative Vertical AI designed to improve customer experience. Recognized by Forbes AI 50, ASAPP designs generative AI solutions that transform the customer engagement practices of Fortune 500 companies. With our automation and simplified work processes, we empower people to reach their full potential and create exceptional experiences for everyone involved. Work with our team of talented researchers, engineers, scientists, and specialists to help solve some of the biggest and most complex problems the world is facing.

We are looking for a new member to join our Machine Learning team as a Lead Machine Learning Engineer, an Individual Contributor position. You should have a passion to tackle tough problems. By bringing your expertise to ASAPP you'll help us to solve cutting-edge machine learning and natural language processing (NLP) challenges.

As a part of our team, you will design, develop, and deploy fast, efficient, and highly scalable machine learning algorithms that are applied to natural language processing problems. You'll work with our senior product team, engineers, and researchers to develop high-quality software that is robust and reliable. You'll be faced with new technical challenges and things to learn about ML and software engineering on a daily basis.

Applicants with all or some relevant combination of the requirements listed below are encouraged to apply. This is a hybrid role, with a preference for candidates near our Bengaluru office, as we require 12 days of in-office presence per month to balance flexibility with collaboration.

• Help us turn research into meaningful ML products that help tens of millions of users
• Improve existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new method
• Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame
• Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
• Closely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effects
• Be actively involved in the process of productizing research experiments into enterprise-ready AI solutions
• Encourage and participate in open collaboration within the ML team and across functions, driving best practices, sharing AI/ML advancements and joint problem-solving.

• Production experience with Python, AWS, Kubernetes, and/or Docker. Proven skill at debugging complicated systems and writing solid test cases to ensure their stability.
• Experience implementing technical solutions, tackling tough engineering problems to help build our products. You enjoy solving complex engineering problems working closely with the Product team to achieve business goals.
• A Bachelor's Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
• Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others
• Passion for Machine Learning and solving problems

• Production experience with Machine Learning and/or Natural Language Processing
• Experience in deep-learning frameworks like PyTorch and TensorFlow
• Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
• Experience using Athena and Redshift

• Competitive compensation
• Stock options
• ICICI Lombard General Insurance LTD
• Onsite lunch & dinner stipend
• Connectivity (mobile phone & internet) stipend
• Wellness perks
• Mac equipment
• Learning & development stipend
• Parental leave, including 6 weeks paternity leave

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance