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FiveRivers Technologies Jobs Data Scientist

FiveRivers Technologies Jobs Data Scientist:

Organization: FiveRivers Technologies

Vacancy Announcement

FiveRivers Technologies is looking for a Data Scientist with more than 2 years of experience who will be mainly responsible for working on different projects related to Machine Learning, Natural Language Processing, and Computer Vision.

Responsibilities:

  • Perform problem-modeling, brainstorming, research and solution design to solve challenging Data Science and AI problems
  • Design algorithms and train Machine Learning and Deep Learning models for different types of problems related to Computer Vision, Natural Language Processing and Data Analytics
  • Manipulate, analyze and visualize data for getting insights and developing models
  • Stay updated on the latest developments in Data Science, Machine Learning and AI
  • Effectively communicate with management, clients and team for building solutions

Requirements:

  • 2+ years of experience in Data Science, Machine Learning, and Artificial Intelligence
  • BS or preferably MS degree in CS, SE, IT, EE, DS, AI, or a related field
  • Strong Python programming, problem-solving and algorithm design skills
  • Broad knowledge and experience in various areas of Data Science and AI
  • Expertise in Machine Learning and Deep Learning theory and implementation (SciKit-Learn, TensorFlow, Keras, PyTorch, Huggingface-transformers)
  • Proficiency in Data Wrangling using Pandas, SQL and PySpark.
  • Strong skills in Data Analysis & Statistics, and Data Visualization (Matplotlib, Seaborn)
  • Knowledge of Natural Language Processing theory and implementation (SpaCy, NLTK, Huggingface-transformers)
  • Experience with Large Language Models (LLMs), Prompt Engineering, LLM Fine-Tuning and Retrieval Augmented Generation (LangChain and LlamaIndex)
  • Expertise in Image Processing and Computer Vision theory, and implementation (OpenCV, PyTorch, Tensorflow)
  • Knowledge of Time Series Analysis & Forecasting (Pandas, Sktime, statsmodels)
  • Knowledge of Data Modeling and Databases (PostgreSQL, MongoDB)
  • Experience with Data Engineering, Cloud, MLOps, Web APIs, StreamLit and Deployment would be a plus
  • Experience with Recommendation Systems and Optimization would be a plus Apply
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