What you'll do :

• Work in a collaboration of machine learning engineers and data scientists.
• Work on various disciplines of machine learning including but not limited to variety of disciplines including 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 machine learning leadership team to define and implement the technology and architectural strategy
• Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs, 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 a great fit :

• Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges.
• At least 3 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