ABOUT US:
Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa.
Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options.
For more details, please visit www.paymentus.com
Job Location: Delhi/Gurugram (Hybrid)
Job Type: Permanent
Interview process: Coding challenge >> Managerial webcam round (Tech + Managerial)
We are seeking a talented and experienced Machine Learning Lead to join our dynamic team. The ideal candidate will have a deep understanding of machine learning techniques, strong proficiency in programming languages such as Python, R, Java, and Scala, and expertise in machine learning frameworks. Additionally, the candidate should possess a solid understanding of data structures, data modeling, and software architecture, along with a strong background in statistics and mathematics. Knowledge of MLOps and MLaaS is highly beneficial for this role.
Role & ResponsibilitiesLead the development and implementation of machine learning models to solve complex business problems.Collaborate with cross-functional teams to gather requirements, understand business objectives, and translate them into technical solutions.Design and architect scalable and efficient machine learning systems.Conduct exploratory data analysis, feature engineering, and model evaluation.Stay updated with the latest advancements in machine learning research and technologies.Mentor and provide guidance to junior team members.Drive best practices in coding, testing, and documentation.
Preferred Candidate ProfileBachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field.Proven experience as a Machine Learning Engineer or similar role.Proficiency in programming languages: Python, R, Java, Scala.Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.Solid understanding of data structures, data modeling, and software architecture principles.Excellent grasp of statistics and mathematics.Experience with MLOps and MLaaS is highly advantageous.Strong problem-solving skills and attention to detail.Excellent communication and interpersonal abilities.
Why Join Us?Experience the freedom to focus on meaningful and impactful tasks.Enjoy a flexible and supportive work environment.Maintain a healthy work-life balance.Thrive in a self-accountable culture with minimal micromanagement.Collaborate with a motivated and goal-oriented team.Work alongside an approachable, supportive, and highly skilled management team.Benefit from a competitive compensation package.Stay ahead of the curve by working with emerging, cutting-edge technologies.See your work make a tangible impact on the lives of millions of customers.
