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Data Scientist (3 to 5 years) - Trivandrum

Stepping Stone Consultancy Services

Kochi

in 4 months

Location: Trivandrum (hybrid) Experience: 3 to 5 years

Job Responsibilities

  • Research and Implement cutting edge techniques(Fine tuning, RLHF) in aligning Generative models to specific problem domains.
  • Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization.
  • Evaluate and Implement the ML/Deep learning/GenAI models
  • Optimize models for production usage and help productize the generation scenarios to a production setting.

Required Qualifications, Capabilities, And Skills

  • Bachelor’s degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc.
  • 3+ years industry experience working as a Data Scientist on large-scale data science projects, with a proven track record of delivering business value.
  • Proficiency in Python or R
  • Expertise in statistical concepts and experience with traditional ML libraries such as scikit-learn, stats models and pandas
  • Experience in optimization and scaling of ML solutions for real world business use cases.
  • Extensive experience with developing and serving large scale Deep learning models across different data domains.
  • Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production.
  • Expertise in NLP, Transformers, Large Language Models, hugging face library. Optimizations around LLM training and serving.
  • Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise
  • Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders
  • Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)

Interested candidates please share your resume at jobs5.steppingstone@gmail.com OR +91 8590876562 (WhatsApp)