1730 - Data Scientist

4 Months ago • 1-2 Years • Artificial Intelligence

Job Summary

Job Description

This Data Scientist role involves designing and developing optimization techniques, creating a chatbot using generative AI, and building AI/ML/deep learning models for time series forecasting. Responsibilities include identifying critical model features, implementing algorithms, presenting findings, collaborating with AI engineers for deployment, and working with NLP and RL technologies. The ideal candidate will have strong proficiency with LLMs or other generative AI, experience with MLOps, cloud computing, and proficiency in Python, TensorFlow, and PyTorch.
Must have:
  • 1-2 years of relevant experience
  • Strong proficiency with LLMs
  • AI/ML/Deep Learning expertise
  • MLOps experience
  • Proficiency in Python, TensorFlow, PyTorch
Good to have:
  • Experience with cloud computing
  • Optimization, time-series forecasting, reinforcement learning
  • NLP, Deep Learning, Transfer Learning
  • Familiarity with Docker and Kubernetes

Job Details

About the job

Seeking a passionate, talented, and innovative Data Scientist with a strong drive for learning and exploration. This individual will be tasked with developing data science models utilizing AI, ML, and deep learning technologies, as well as creating a chatbot aimed at enhancing strategic decision-making processes.

Key Responsibilities

  • Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.
  • Generative AI – Design and develop chatbot using cutting edge technologies.
  • Model Creation & Algorithm Implementation: Identify critical model features, and model development using AI, ML and Deep learning, Time series forecasting algorithms.
  • Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL).
  • Results Synthesis & Industrialization: Present findings to the business and collaborate with AI engineers for model deployment.
  • Coding & Debugging: Perform coding, debugging, testing, and troubleshooting throughout the application development process.
  • Collaborate with other business team resources to identify, develop, test, and create new solutions/products.

Qualifications

  • Minimum of 1-2 years of relevant experience in data science, demonstrating a track record of successful projects
  • Strong proficiency with Large Language Models (LLMs) or other Generative AI
  • Degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent
  • Comprehensive understanding of AI, ML, and deep learning with experience in MLOps
  • Proficiency in optimization, time-series forecasting, and reinforcement learning
  • Experience with cloud computing in the context of ML and AI
  • Proficient in programming languages including Python, TensorFlow, PyTorch, and other relevant AI frameworks.
  • Experience in Natural Language Processing, Deep Learning, Transfer Learning, etc.
  • Analytical self-starter with strong attention to detail and an eagerness to learn.
  • Strong organizational and problem-solving skills to handle multiple complex projects across diverse areas.
  • Familiarity with microservices and orchestration-based software such as Docker and Kubernetes
  • Positive "can-do" attitude with the ability to work independently and collaboratively within a small group.

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