Vacancy description
MoEngage
1350
India, Bengaluru
Data Science and ML Manager in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
MoEngage is an insights-led customer engagement platform trusted by 1,350+ global consumer brands, including McAfee, Flipkart, Domino's, Nestle, Deutsche Telekom, and OYO. MoEngage combines data from multiple sources to help brands gain a 360-degree view of their https://jobeax.com/link/ykFCfx63Kaz5UroN can leverage MoEngage Personalize to orchestrate journeys and build 1:1 conversations across the website, mobile, email, social, and messaging channels. MoEngage Inform, the transactional messaging infrastructure, helps unify promotional and transactional communication to a single platform for better insights and lower costs. MoEngage's AI Suite helps marketers develop winning copies and creatives, optimize campaigns and channels that boost engagement, and help with faster execution.
For over a decade, consumer brands in 60+ countries have been using MoEngage to power digital experiences for over a billion monthly customers. With offices in 15 countries, MoEngage is backed by Goldman Sachs Asset Management, B Capital, Steadview Capital, Multiples Private Equity, Eight Roads, F-Prime Capital, Matrix Partners, Ventureast, and Helion https://jobeax.com/link/YG6VptVu4UkNxzCB Omni-Channel Marketing Platforms for B2C Enterprises 2023.
As part of the Data Science/Engineering team at MoEngage, here are some things you can expect:
Work with A players (some of the best talents in the country), and expedite your learning curve and career growth
Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Spark, LLM and share with the team and more importantly, have fun while you work on scaling MoEngage.
Lead, manage, and grow a team of data scientists, fostering their careers through active coaching and mentorship.
Provide expert, hands-on guidance to your team on the nuances of designing, building, and evaluating classical ML models, AI agents and complex LLM chains.
Own the hiring and development process, attracting top-tier talent that can thrive in a fast-paced, research-oriented environment.
Strong experience of classical ML models, Reinforcement learning and LLM based models.
Spearhead the rapid prototyping of new agent-based LLM concepts to quickly validate product ideas and de-risk technical challenges.
Stay on the cutting edge of LLM and AI agent research, guiding the team on adopting new models, techniques, and frameworks.
Leverage classical machine learning models (e.g., Unified AI Strategy and Technical Leadership
Lead the research, design, and implementation of novel models that combine predictive signals (e.g., 'Translate ambiguous business goals into concrete technical requirements and a clear project plan for the team.
Drive projects from ideation to production, ensuring models are not only accurate but also scalable, efficient, and maintainable.
Develop and implement rigorous offline and online (A/B testing) evaluation frameworks to continuously measure and improve recommendation quality and business impact.
Bachelor's/Master's degree or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent practical experience.
At MoEngage, we are passionate about our team and technology - see below to know more about us.
View email address on https://jobeax.com/link/9QmyBd6n6RNe4gQ1
Rest assured, you will be surrounded by really smart and passionate people as we scale much more to build a world-class technology team.
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