Lead Product Engineer

2 weeks ago

Gurgaon, Haryana, India Sprinklr Full time

About Sprinklr: Sprinklr is a unified platform for customer-facing functions, known as Unified-CXM. We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Our global team of over 2,400 employees works with more than 1,000 of the world's most valuable enterprises, including Microsoft, P&G, and Samsung. We're looking for talented individuals who can add immense value to our organization.

Role: As a Lead Product Engineer with us, you will be responsible for creating and delivering novel machine learning solutions for next-generation digital customer experience applications.

Key Responsibilities:

  • Collaborate with machine learning engineers and data scientists to develop innovative solutions.
  • Work on various disciplines of machine learning, including deep learning, reinforcement learning, computer vision, language, and speech processing.
  • Partner with product management and design to define project scope, priorities, and timelines.
  • Work closely with machine learning leadership to define and implement technology and architectural strategy.
  • Take partial ownership of project technical roadmap, including deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs, and delivery.
  • Deliver and maintain high-quality, scalable systems in a timely and cost-effective manner.
  • Recognize potential use-cases of cutting-edge research in Sprinklr products and implement your own solutions.
  • Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow.

Requirements:

  • Degree in Computer Science or related quantitative field from a Tier 1 college.
  • 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.

Nice to Have:

  • Experience in directly managing a team of high-calibre machine learning engineers and data scientists.
  • Experience with Multi-Modal ML, including Generative AI.
  • Interest in and thoughtfulness about the impacts of AI technology.
  • A real passion for AI.

Why You'll Love Sprinklr:

We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.

We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world's most loved enterprise software company, ever.

We believe in our product: Sprinklr was built from the ground up to enable a brand's digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.

We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with Learning and more.

EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.

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