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AuxoAI - Senior Data Scientist - Artificial Intelligence & Machine Learning

5 years

0 Lacs

hyderabad telangana india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

data learning ai engineering scaling ml model cutting research mentoring design training evaluation testing monitoring drift retrieval reasoning planning inference docker kubernetes architecture python pytorch tensorflow tuning development react spark deployment software

Work Mode

On-site

Job Type

Full Time

Job Description

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.

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
  • Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
  • 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 :
  • 5+ 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
  • Proven ability to balance innovation with scalable deployment
  • B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
  • Bonus: Open-source contributions, GenAI research, or applied systems at scale
(ref:hirist.tech)

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