Senior ML Engineer

As a Senior ML Engineer at Sprinklr, you will design, develop, and deploy scalable machine learning solutions for next-generation digital customer experience applications. This role involves working across various ML disciplines, owning the end-to-end lifecycle of ML features, and collaborating with product management and leadership to define technology strategy. You will optimize model performance, build supporting infrastructure, and ensure adherence to ML Ops best practices, while also exploring cutting-edge research for product integration.

Must Have

• Design, develop, and deploy scalable machine learning solutions in production environments.
• Work on various disciplines of machine learning including deep learning, reinforcement learning, computer vision, language, speech processing.
• Own the end-to-end lifecycle of ML features – from data ingestion to deployment and monitoring.
• 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.
• Optimize model performance, latency, and scalability for real-world applications.
• Build APIs, microservices, and infrastructure components to support ML pipelines.
• Ensure adherence to best practices in ML Ops, testing, versioning, and monitoring.
• Deliver and maintain high-quality scalable systems in a timely and cost-effective manner.
• Recognising 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.
• Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges.
• 2+ 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-4, 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.

Good to Have

• Experience with Multi-Modal ML including Generative AI.
• Interested in and thoughtful about the impacts of AI technology.
• A real passion for AI!

Perks & Benefits

• Voluntary healthcare coverage
• Paid time off to recharge and spend time with loved ones
• Open Mentoring Program

Role: In your role as Senior ML Engineer with us, you will be tasked with creating and delivering novel Machine Learning solutions for next generation of digital customer experience applications.

What will you do:

• Design, develop, and deploy scalable machine learning solutions in production environments.
• 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.
• Own the end-to-end lifecycle of ML features – from data ingestion to deployment and monitoring.
• 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.
• Optimize model performance, latency, and scalability for real-world applications.
• Build APIs, microservices, and infrastructure components to support ML pipelines.
• Ensure adherence to best practices in ML Ops, testing, versioning, and monitoring.
• Deliver and maintain high-quality scalable systems in a timely and cost-effective manner.
• Recognising 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.
• 2+ 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-4, 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 with Multi-Modal ML including Generative AI.
• Interested in and thoughtful about the impacts of AI technology.
• A real passion for AI!

We focus on our mission:

Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data — helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:

• Lead a new category of enterprise software that we call Unified-CXM.
• Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.
• Create a culture of customer obsession, with trust, teamwork, and accountability.

We believe in our product:

Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything — and everyone — can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world’s leading enterprise brands.

We invest in our people:

We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off – it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.

To learn more about employee benefits by region, click here.

To learn more about all-things-Sprinklr, visit our candidate resource hub here.

EEO - Our philosophy:

Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We 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.

Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.

Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.

Warning about Recruiting Scams:

Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.

If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.