Chief Machine Learning Architect
4 days ago
Sprinklr, a leading enterprise software company for all customer-facing functions, is revolutionizing the way organizations interact with their customers. Our advanced AI-powered unified customer experience management (Unified-CXM) platform enables companies to deliver exceptional experiences across any modern channel. With headquarters in New York City and employees worldwide, we collaborate with over 1,000 of the world's most valuable enterprises – global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100.
At Sprinklr, we're passionate about empowering our employees to grow and thrive. We provide comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans. Our mission is to enable every organization on the planet to make their customers happier, and our vision is to be the world's most loved enterprise software company, ever.
Job DescriptionWe're seeking a highly skilled Chief Machine Learning Architect to lead our data science strategies and drive business growth. As a key member of our team, you'll collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions. Your expertise in developing and implementing machine learning models using Python and other relevant tools will be crucial in achieving our goals.
Key Responsibilities:
- 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.
- 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 the company.
What Makes You Qualified
- Bachelor's or master's degree in computer science, mathematics, statistics, or related field.
- 8+ years of experience managing Machine Learning teams.
- 10+ years of experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed machine learning algorithms and 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.
We offer a competitive salary range of $250,000 - $350,000 per year, depending on experience, as well as a comprehensive benefits package, including health insurance, retirement plan, and paid time off. Additionally, we provide opportunities for professional growth and development, a dynamic and inclusive work environment, and a chance to work with a talented team of professionals.
The estimated salary for this position is $275,000 per year, based on the title, job description, and location.
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