**Role**: In your role as a Product Engineer with us, you will be tasked with creating and delivering novel machine learning solutions for the next generation of digital customer experience applications.
**WHAT WILL YOU DO:**
• Work in a collaboration of machine learning engineers and data scientists.
• Work on various disciplines of machine learning including but not limited to deep learning, reinforcement learning, computer vision, language, speech processing, etc.
• Work closely with product management and design to define project scope, priorities, and timelines.
• Work closely with the machine learning leadership team to define and implement the technology and architectural strategy.
• Take partial ownership of the project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-offs, and delivery.
• Deliver and maintain high-quality scalable systems in a timely and cost-effective manner.
• Recognizing potential use cases of cutting-edge research in Sprinklr products and implementing your own solutions for the same.
• Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team’s workflow.
**WHAT MAKES YOU QUALIFIED:**
• Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges.
• At least 5 years of Deep Learning Experience with a distinguished track record on technically fast-paced projects.
• Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers.
• Experience with large language models (GPT-3, Pathways, Google BERT, Transformer) and deep learning tools (TensorFlow, Torch).
• Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations.
• Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs.
**NICE TO HAVE:**
• Experience in directly managing a team of high-caliber machine learning engineers and data scientists.
• Experience with Multi-Modal ML including Generative AI.
• Interested in and thoughtful about the impacts of AI technology.
• A real passion for AI!