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Hybrid Data Scientist( ML AI )

Chiselon Technologies Private Limited  ·  nan, · Hybrid

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About the job

Skills:
Statistical Analysis, Machine Learning, Data Visualization, Python Programming, Big Data Technologies, GCP, Artificial Intelligence (AI), Pytrorch,

Job Alert!

"Seeking passionate individuals who are eager to make a difference and thrive in a dynamic, collaborative environment."

Job Description

We are looking for a skilled Data Scientist with a strong background in Machine Learning and Artificial Intelligence to drive actionable insights from our vast datasets. As a member of our Data Science team, you will collaborate with cross-functional teams to develop and deploy ML/AI models that enhance our products/services and drive business growth.

Responsibilities

  • Utilize advanced statistical and machine learning techniques to analyze complex datasets and extract valuable insights.
  • Design, develop, and implement machine learning algorithms and models to solve business problems and optimize processes.
  • Explore and experiment with new ML/AI techniques to improve model accuracy and performance.
  • Collaborate with software engineers and data engineers to deploy ML/AI models into production systems.
  • Conduct thorough testing and validation of ML/AI models to ensure robustness, reliability, and scalability.
  • Interpret and communicate findings to stakeholders through clear and compelling data visualizations, reports, and presentations.
  • Stay updated on the latest trends and advancements in machine learning, artificial intelligence, and related fields.

Requirements

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
  • Proven experience as a Data Scientist, with a focus on machine learning and artificial intelligence.
  • Strong proficiency in programming languages such as Python, R, or Scala.
  • Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of statistical methods and techniques for data analysis.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team in a fast-paced environment.

"If you're ready to join a team that values innovation, collaboration, and personal growth, we want to hear from you. Apply now and let's shape the future together!"

Email: [email protected]

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Thanks In Advance


Desired Skills and Experience

Statistical Analysis, Machine Learning, Data Visualization, Python Programming, Big Data Technologies, GCP, Artificial Intelligence (AI), Pytrorch

Candidatar-se agora

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