Director of Machine Learning

Job Description

What You’ll Do

• Develop and implement data science strategies to drive business growth.
• Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions.
• Lead the development of machine learning models using Python and other relevant tools.
• Conduct regular model maintenance and optimization to ensure accuracy and efficiency.
• Stay up-to-date with emerging trends and best practices in data science
• Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, voice models etc.)
• Mentor, guide, coach, coordinate training opportunities and support individual growth and technical skills across the engineering teams.
• Enable continuous learning environment to keep abreast of industry trends. Partner with research organizations and explore innovation opportunities.
• Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.
• Ensure that technical solutions are in line with established company strategy, standards in respect to architecture, security, corporate governance, coding standards, monitoring, logging, unit test, and service enablement.
• As a director of machine learning, you will be responsible for overseeing the ML strategy, vision, and roadmap of your organization. You will also be leading and mentoring a team of ML professionals, and collaborating with other teams and departments.
• You are expected to grow a strong bench of ML/AI leaders to help Sprinklr further expand its ML/AI footprint in company.

What Makes You Qualified

• Bachelor's or master's degree in computer science, mathematics, statistics, or related field.
• 12+ years of experience in AI/ML, including 4+ years in a leadership role.
• End-to-end experience with scalable, resilient, and distributed machine learning systems.
• Proficient in Python, GEN AI, ML, Natural Language Processing (NLP), Deep Learning (DL), and Graph Analytics.
• Experience in directly working with cloud providers such as AWS, Azure, GCP is a plus.
• Strong problem-solving skills and ability to work collaboratively in a team environment.
• Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.
• Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).
• Obsession for service observability, instrumentation, monitoring, and alerting.

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.

For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides.

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 and virtual fitness. We have continuous learning opportunities available with LinkedIn 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.

Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

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.