5.0 - 10.0 years

5 - 15 Lacs

Bengaluru, Karnataka, India

On-site

About You PhD in a relevant discipline or masters plus a comparable level of experience, 5+ years of hands-on experience building NLP / IR systems / Document Processing Systems for commercial applications, Experience writing production code and ensuring we'll-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and leading through others, in an applied research setting, Outstanding communication, problem-solving, and analysis skills, Collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback, Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD. (Preferred) Innovate: Develop new skills and capabilities for Document AI, focusing on areas such as document classification, data extraction, and reasoning improvement. Lead research initiatives in LLM benchmarking, grounding, LLM agents, and enhancing the reasoning abilities of large language models. Build & Experiment: Design, test, and deploy state-of-the-art models that expand Document AI ability to address complex, real-world tasks. Collaborate: Partner with engineering teams, product managers, and stakeholders to translate complex challenges into impactful solutions. Mentor & Lead: Guide and support junior researchers, fostering a culture of learning, creativity, and collaboration. Communicate: Publish findings at top-tier conferences (eg, NeurIPS, ACL, EMNLP, SIGIR) and contribute to patents, ensuring our solutions are cutting-edge and competitive.

Posted 11 hours ago

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Principal Data Scientist/ Data Science Manager- Ads team Meesho

6.0 - 11.0 years

12 - 17 Lacs

Bengaluru

Work from Office

About the Role As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M.Tech or Ph.d in Computer Science with a specialization in Machine Learning. 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains. Exposure in real-time bidding systems, programmatic advertising, or ad exchanges. Track record of successful research-to-product transitions. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).

Posted 1 month ago

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