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Urgent! AuxoAI - Senior Data Scientist - Artificial Intelligence & Machine Learning Job Opening In Mumbai – Now Hiring AuxoAI

AuxoAI Senior Data Scientist Artificial Intelligence & Machine Learning



Job description

<p><p><b>Job Description :</b></p><p><br/></p><p>AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI.

You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflows.

This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

<br/><br/></p><p><b>Responsibilities :</b><br/><br/></p><p>- Own the full ML lifecycle: model design, training, evaluation, deployment<br/><br/></p><p>- Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection<br/><br/></p><p>- Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines<br/><br/></p><p>- Build agentic workflows for reasoning, planning, and decision-making<br/><br/></p><p>- Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark<br/><br/></p><p>- Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines<br/><br/></p><p>- Collaborate with product and engineering teams to integrate AI models into business applications<br/><br/></p><p>- Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best :</b><br/><br/></p><p>- 5+ years of experience in designing, deploying, and scaling ML/DL systems in production<br/><br/></p><p>- Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX<br/><br/></p><p>- Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines<br/><br/></p><p>- Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)<br/><br/></p><p>- Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment </p><p>workflows<br/><br/></p><p>- Strong software engineering background with experience in testing, version control, and APIs<br/><br/></p><p>- Proven ability to balance innovation with scalable deployment<br/><br/></p><p>- B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field<br/><br/></p><p>- Bonus: Open-source contributions, GenAI research, or applied systems at scale</p><br/></p> (ref:hirist.tech)


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