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Simpliigence - Data Scientist - Machine Learning / Artificial Intelligence

Simpliigence - Data Scientist - Machine Learning / Artificial Intelligence

SimpliigenceBangalore
21 days ago
Job description

Description :

We are hiring for a Data Scientist with,

  • 7+ years of experience in data science, machine learning, or AI-related roles.
  • Expert in Python, including libraries like scikit-learn, pandas, NumPy, and PyTorch or TensorFlow.
  • Strong understanding of core ML algorithms : supervised, unsupervised, and deep learning techniques.
  • Experience with LLMs and building GenAI applications using frameworks like LangChain, LlamaIndex, or similar.
  • Deep knowledge of RAG (Retrieval-Augmented Generation) and integrating knowledge bases with LLMs.
  • Understanding of agentic AI principles and ability to design autonomous AI workflows.
  • Proficient in Prompt Engineering : crafting, testing, and refining prompts for accuracy, reliability, and depth.
  • Problem-solving mindset with a strong ability to think smart and solution creatively under constraints.
  • Familiar with cloud platforms (AWS, GCP, Azure) and version control (Git).
  • Excellent communication and collaboration skills.

Key Responsibilities :

  • Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
  • Design, develop, and deploy robust machine learning models and AI-driven solutions.
  • Work with LLMs (Large Language Models) and implement RAG-based architectures to enhance generative capabilities using external knowledge sources.
  • Explore and apply principles of agentic AI to build autonomous agents capable of reasoning and task execution.
  • Leverage Prompt Engineering techniques to optimize interactions with LLMs for specific use cases.
  • Write clean, efficient, and production-ready Python code, integrating with APIs, data sources, and front-end systems as needed.
  • Conduct model evaluation, A / B testing, and performance tuning.
  • Mentor junior data scientists and contribute to the development of best practices and reusable components.
  • Stay updated on the latest trends in ML, AI, and GenAI ecosystems.
  • (ref : hirist.tech)

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