Sr. Data Scientist - AI/ML

6 - 10 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

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 and implement retrieval-augmented generation (RAG) pipelines - Build agentic workflows for reasoning, planning, and decision-making - Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark - Collaborate with product and engineering teams to integrate AI models into business applications - Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices **Qualifications Required:** - 6+ years of experience in designing, deploying, and scaling ML/DL systems in production - Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX - Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines - Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration) - Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows - Strong software engineering background with experience in testing, version control, and APIs - B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field AuxoAI is seeking a Senior Data Scientist who has a proven ability to balance innovation with scalable deployment. If you have bonus qualifications such as open-source contributions, GenAI research, or applied systems at scale, it would be an added advantage. Join us at AuxoAI and be part of a dynamic team working on cutting-edge AI applications.,

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