Short Description:
Chegg is seeking a dynamic Machine Learning Manager for our team in Jasola, Delhi. In this pivotal role, you will lead a group of Machine Learning Engineers focused on Chegg's Learning Services unit, collaborating with business and product teams to guide development plans. The ideal candidate, with over 8 years of experience in data science and analytics, will bring expertise in NLP and deep learning techniques, utilizing Python libraries. Responsibilities include delivering innovative solutions, developing key business insights, and mentoring a team of data scientists. This position requires a self-motivated and adaptable leader with a strong analytical background and a pulse on advancements in NLP and ML communities.
Position: Machine Learning Manager
Company: Chegg
Location: Delhi, India
Job Type: Full time / Hybrid
Introduction:
In the heart of Chegg's organizational framework, Data Science stands as a linchpin, intricately woven into every facet of business and functional operation. Our dedicated team of data scientists is at the forefront of innovation, harnessing the power of cutting-edge Natural Language Processing (NLP) and machine learning algorithms to craft transformative data products that enrich the educational experiences of our vast student community.
Challenges Addressed:
The dynamic landscape of educational content presents diverse challenges spanning various mediums. From eBooks to study guides, question & answers, and flashcards, Chegg's digital services require adept handling. We are on a mission to invite an enthusiastic candidate to join us in integrating text mining, NLP, and machine learning technologies. The focus lies in spearheading content-related initiatives such as routing optimization, content generation, and quality assessment, ensuring a seamless and enriching learning experience for our users.
Role Overview:
Positioned as a Manager in Machine Learning, this role is centered on leading a proficient team of Machine Learning Engineers dedicated to Chegg's Learning Services business unit. Collaboration with business and product teams is not merely encouraged but integral, as it involves guiding roadmaps and shaping development plans. Based in the vibrant locale of Delhi, India, this role encapsulates a spectrum of responsibilities, including:
Leadership and Team Management: Spearhead, manage, and nurture a team of highly skilled Machine Learning Engineers, fostering a culture of innovation and collaboration.
Innovative Solutions: Engage in the ideation, execution, and delivery of novel solutions to address current challenges in the educational content landscape.
Business Insights: Develop and define key product and business insights derived from data, providing crucial information for decision-makers and executives within the digital services business.
Strategic Collaboration: Collaborate with engineering and product leaders, shaping the future trajectory of the company through a strategic, data-driven approach.
Mentorship and Professional Development: Play a pivotal role in the mentorship and development of a team of data scientists, nurturing their professional growth and ensuring a thriving talent pool.
Technology Adoption: Stay at the forefront of technological advancements in the NLP and machine learning communities, identifying and evaluating opportunities for their seamless integration within Chegg's framework.
Requirements:
For those aspiring to take on this impactful role, the following requirements are paramount:
Proven Track Record: A minimum of 8 years demonstrating success in the realm of data science and analytics, with a substantial 2+ years of experience in managing analyst/data science teams.
Technical Expertise: Possess extensive experience in machine learning, particularly in NLP and deep learning techniques, showcasing proficiency in Python libraries.
Analytical Acumen: Exhibit a robust analytical toolkit, encompassing advanced statistical knowledge (time series analysis, cluster analysis, multivariate analysis), discrete simulation, and linear/nonlinear optimization.
Database Proficiency: Fluent in writing SQL or NOSQL queries for effective data manipulation.
Mathematical Understanding: Demonstrate a strong grasp of statistics and the underlying mathematics of machine learning.
ML Pipeline Experience: Previous exposure to ML pipeline products such as AWS Sagemaker, Google ML, or Databricks is considered a notable advantage.
Personal Attributes: Be self-motivated, independent, organized, and proactive. Display a high level of responsiveness, flexibility, and adaptability, particularly when collaborating across multiple business units and product teams.
Conclusion:
Embark on a transformative journey with Chegg as a Machine Learning Manager, where your leadership and technical prowess will shape the future of educational content delivery. Join a dynamic team committed to innovation, mentorship, and the seamless integration of cutting-edge technologies, ultimately enhancing the educational experience for students worldwide. If you are ready to make a significant impact and contribute to the evolution of educational technology, apply today to be a part of our visionary team in Jasola, Delhi.
Please click here to apply.
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