AI Innovator for Large-Scale Search and Conversational Systems

3 days ago

amravati, India beBeeMachine Full time

We are seeking an experienced Machine Learning Engineer to join our team. In this role, you will be responsible for designing, training, and productionizing models that power search relevance, retrieval, personalization, and conversational experiences at massive scale.The ideal candidate will have a strong foundation in machine learning, deep learning, and neural retrieval. You should also have hands-on experience with search systems, recommendation models, embedding models & vector databases, TensorFlow / PyTorch, etc.In addition to your technical skills, you should be able to work collaboratively with platform teams to integrate ML services across search, recommendations, and conversational agents. A proven track record of building production-grade ML systems at scale is essential for this role.Key Responsibilities:Design and optimize embedding models, vector stores, and similarity search systems.Build personalized ranking and recommendation models using deep learning.Work on large-scale ML systems optimized for low latency, high throughput, cost-efficient inference, etc.Implement ML pipeline best practices (versioning, monitoring, A/B testing, observability).Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents.Contribute to long-term roadmap: foundational retrieval models, multi-objective optimization, user lifecycle modeling.Requirements:4–10 years of experience in Machine Learning / Applied ML engineering.Strong foundations in ML, deep learning, Transformers, and neural retrieval.Hands-on experience with search systems (retrieval + ranking), recommendation models, embedding models & vector databases, TensorFlow / PyTorch, etc.Proven experience building production-grade ML systems at scale.Familiarity with LLMs, RAG architectures, prompt engineering, and agent workflows.Strong coding skills (Python) and experience with modern ML stack (TensorFlow, PyTorch, Faiss/ScaNN, Triton, etc.).Benefits:Work on flagship launches impacting hundreds of millions of users.Solve some of the most challenging problems in search, discovery, and conversational AI at scale.

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    amravati, India beBeeArtificial Full time

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    amravati, India beBeeModel Full time

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    amravati, India beBeeArtificialIntelligence Full time

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    amravati, India beBeeInnovation Full time

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    amravati, India beBeeDeveloper Full time

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    amravati, India beBeeAI Full time

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