5.0 - 9.0 years

0 Lacs

karnataka

On-site

As a Senior Data Scientist at Auxo AI, your role will involve owning the full ML lifecycle, including model design, training, evaluation, and deployment. You will be responsible for designing production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection. Additionally, you will fine-tune LLMs, implement retrieval-augmented generation (RAG) pipelines, and build agentic workflows for reasoning, planning, and decision-making. Your responsibilities will also include developing real-time and batch inference systems using Docker, Kubernetes, and Spark, as well as collaborating with product and engineering teams to integrate AI models into business applications. Furthermore, you...

Posted 5 days ago

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Sr. Data Scientist - AI/ML AuxoAI

6.0 - 10.0 years

0 Lacs

haryana

On-site

As a Senior Data Scientist at AuxoAI, you will play a significant role in designing, deploying, and scaling production-grade ML systems. Your expertise in AI, machine learning engineering (MLE), and generative AI will be utilized to work on large language model (LLM)-based pipelines, AI copilots, and agentic workflows to build impact-first AI applications. This role requires a balance between cutting-edge research and production rigor, along with a passion for mentoring team members. **Key Responsibilities:** - Own the full ML lifecycle: model design, training, evaluation, deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-tune LLMs ...

Posted 1 month ago

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Senior Data Scientist AuxoAI

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

As a Senior Data Scientist at AuxoAI, you will have the opportunity to lead the design, deployment, and scaling of production-grade ML systems, focusing on AI, machine learning engineering (MLE), and generative AI. Your role will involve a combination of cutting-edge research and production rigor, where you will be responsible for mentoring while building impactful AI applications. Key Responsibilities: - Own the full ML lifecycle, including model design, training, evaluation, and deployment - Design production-ready ML pipelines integrating CI/CD, testing, monitoring, and drift detection - Fine-tune Large Language Models (LLMs) and implement retrieval-augmented generation (RAG) pipelines - ...

Posted 1 month ago

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