Senior Product Engineer - ML

Working experience in software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations

Strong communication skills to interact with users, technical teams, and product management to understand requirements, describe software product features, and technical designs Please note: The job description does not contain any additional details about the company. As a Machine Learning Engineer at the company, you will be part of a collaborative team consisting of machine learning engineers and data scientists. Your role will involve working on various disciplines of machine learning, focusing on deep learning, reinforcement learning, computer vision, language, and speech processing. You will collaborate closely with product management and design to define project scope, priorities, and timelines. Additionally, you will work with the machine learning leadership team to implement technology and architectural strategies. It will be your responsibility to take partial ownership of the project technical roadmap, including deciding on schedules, milestones, technical solutions, risks/mitigations, and delivery. Your aim will be to deliver and maintain high-quality scalable systems in a timely and cost-effective manner. You will also be expected to identify potential use cases of cutting-edge research in Sprinklr products and implement your solutions accordingly. Furthermore, staying updated on industry trends, emerging technologies, and data science advancements will be crucial for incorporating relevant innovations into the team's workflow. Qualifications Required:

Degree in computer science or a related quantitative field from Tier 1 colleges

2 to 3 years of deep learning experience with a distinguished track record on technically fast-paced projects

Familiarity with cloud deployment technologies like Kubernetes or Docker containers

Experience with large language models (GPT-3 Pathways, Google BERT, Transformer) and deep learning tools (TensorFlow, Torch)

Working experience in software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations

Strong communication skills to interact with users, technical teams, and product management to understand requirements, describe software product features, and technical designs Please note: The job description does not contain any additional details about the company.