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Senior Data Scientist - Artificial Intelligence / Machine Learning

Senior Data Scientist - Artificial Intelligence / Machine Learning

TalentxoBangalore
18 days ago
Job description

Description :

Roles & Responsibilities :

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 :

  • 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 practices

Ideal Candidate :

  • 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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