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We're building the future of personalized, real-time digital experiences — at a scale that few teams in the world get to operate at. · This isn't a maintain-the-status-quo role. You'll design, build, and deploy intelligent systems that directly shape how millions of people experi ...
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Fine-tune open-source LLM models for various applications. Pre-process and clean large text/datasets for LLM finetuning. · Able to tweak different prompts depending on the use case. · Evaluate LLM performance and identify areas for improvement. · Collaborate with backend teams an ...
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Analyze Optimize eCommerce Product Data and Drive Insights Strategy using data-driven storytelling to influence product and AI teams. · Leverage SQL Python analyses for taxonomy improvement. · Evaluate Improve AI/ML Models for product knowledge models. · ...
Bengaluru1 month ago
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This role is for one of the Weekday's clients. We are looking for a skilled Machine Learning Engineer to design and deploy AI-driven conversational and personalization systems that combine deep domain knowledge with modern large language model (LLM) technologies. · We are looking ...
Bengaluru ₹3,000,000 - ₹4,000,000 (INR) Full time1 week ago
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We are seeking a highly skilled Machine Learning Engineer to build and scale AI-powered conversational and personalization systems. · This role focuses on designing robust ML architectures that integrate large language models (LLMs), retrieval systems, and recommendation engines ...
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+Job Summary : · We are looking for a skilled QA Engineer with experience in testing Large Language Model (LLM) applications to ensure the reliability, accuracy, and performance of AI-driven solutions. · +Experience in testing LLM applications or AI-driven platforms · Hands-on ex ...
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We are looking for a skilled Machine Learning Engineer to design and deploy AI-driven conversational and personalization systems that combine deep domain knowledge with modern large language model (LLM) technologies. · The ideal candidate is passionate about applied AI, multiling ...
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We are seeking an experienced Machine Learning Engineer to build scalable, production-grade AI systems that power intelligent conversational and personalization experiences. · ...
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You will design, build and deploy production-grade ML systems. · Develop end-to-end ML pipelines for personalizationFine-tune Hindi and multilingual NLU/NLG models using transformers and LLMsBuild recommendation engines for daily insights, muhurats, and horoscopes · ...
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We are seeking a highly skilled Machine Learning Engineer to build and scale AI-powered conversational and personalization systems.This role focuses on designing robust ML architectures that integrate large language models (LLMs), retrieval systems, and recommendation engines int ...
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We are looking for an experienced ML Engineer to design and deploy scalable, production-ready AI systems powering conversational and personalization-driven applications. · Architect and implement AI-powered chat systems supporting multi-turn dialogue, contextual memory, and perso ...
Bengaluru1 week ago
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This role is for one of the Weekday's clients. We are looking for an experienced ML Engineer to design and deploy scalable, production-ready AI systems powering conversational and personalization-driven applications. This role emphasizes Large Language Models (LLMs), Retrieval-Au ...
Bengaluru Full time1 week ago
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Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users. Develop innovative AI models to production which have direct measurable impact on eBay buyers working with a glob ...
Bengaluru1 month ago
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Bengaluru, Karnataka1 month ago
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We are looking for an experienced ML Engineer to design and deploy scalable, production-ready AI systems powering conversational and personalization-driven applications. · 5+ years of experience as an ML Engineer, Applied Scientist, or NLP Engineer. · Strong proficiency in Python ...
Bengaluru, Karnataka1 week ago
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Job Description · Develop and modify complex information system programs. Leads project teams and defines specifications for AI Model Development · Design and implement end-to-end AI applications using LLMs, multimodal models, and classical ML where appropriate. Integrate foundat ...
Bengaluru, Karnataka4 hours ago
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We are looking for a Data Scientist to design and build GenAI/LLM-based systems for wealth advisory use cases. You will work on prompt engineering, RAG pipelines, embeddings, vector databases, fine-tuning/adapting LLMs where required. · ...
Bangalore1 month ago
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As a Senior Data Scientist, you will lead the development of scalable GenAI-powered systems, designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks. Youll drive solution architecture, mentor jun ...
Bengaluru / Bangalore ₹2,500,000 - ₹5,500,000 (INR) per year Full time3 days ago
Machine Learning Engineer — Recommendations, LLMs - Bengaluru - CareerXperts Consulting
Description
We're building the future of personalized, real-time digital experiences — at a scale that few teams in the world get to operate at. If you're a Data Scientist who lives at the intersection of classical ML and next-gen AI, we want to talk.
What You'll Do
This isn't a maintain-the-status-quo role. You'll design, build, and deploy intelligent systems that directly shape how millions of people experience personalized content — every single day.
Recommendation Systems & Classical ML
• Design and scale large recommendation systems using advanced ML, ranking algorithms, and deep learning
• Build models on high-volume, diverse data for personalization, prediction, and content understanding
• Own the full ML lifecycle — data prep, training, evaluation, and deployment
• Run rapid experiments to validate hypotheses and drive measurable business impact
• Monitor model health using statistical techniques; catch drifts and failure modes before they matter
Agentic AI & Next-Gen Systems
• Build autonomous agentic systems that observe model performance, trigger experiments, tune hyperparameters, and orchestrate ML workflows — with minimal human intervention
• Apply LLMs, embeddings, RAG architectures, and multimodal generative models for semantic understanding and user preference modeling
• Design intelligent agents that automate decision-making: candidate generation tuning, feature selection, context-aware content curation
• Experiment with reinforcement learning, contextual bandits, and self-improving systems for next-generation personalization
Who You Are
You're not just a model builder — you're a system thinker. You get excited about autonomous systems, obsess over model quality, and aren't afraid to push the boundaries of what AI can do in production.
You're comfortable working in ambiguity, own your work end-to-end, and thrive in fast-moving, high-impact environments. Write to
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