Director ML Engineering

12 - 17 years

40 - 45 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • 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
  • Bachelors or masters 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.

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Sprinklr

Software Development

New York NY

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