AWS Data Scientist

2 months ago

Gurugram, India Mobile Programming LLC Full time

Job Description :


We are looking for a talented and experienced AWS Data Scientist with Machine Learning with a solid foundation in Machine Learning to join our energetic group. The ideal candidate should have 3-4 years of hands-on experience working with AWS services and a proven track record in developing and deploying machine learning models.


Responsibilities :

  • Team up with cross-practical groups to figure out business necessities and targets.
  • Design, develop, and implement machine learning models and algorithms.
  • Utilize AWS services for data processing, storage, and analytics.
  • Work with large datasets and perform data reprocessing tasks.
  • Assess and enhance the performance of existing models for machine learning.
  • Stay updated on the latest advancements in machine learning and AWS technologies.
  • Collaborate with data engineers and IT professionals to integrate machine learning solutions into production systems.
  • Convey discoveries and bits of knowledge to both technical and non-technical stakeholders.
Requirements :

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience as a Data Scientist with a focus on machine learning.
  • Strong proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch).
  • Hands-on experience with AWS services such as SageMaker, Glue, Redshift, and S3.
  • Solid understanding of statistical concepts and machine learning algorithms.
  • Excellent problem-solving skills and attention to detail.
  • Capacity to work freely and cooperatively in a group climate.
  • Effective communication skills to convey complex technical concepts to a diverse audience.

In the event that you are enthusiastic about utilizing AWS and AI to drive business bits of knowledge and development, we welcome you to apply for this thrilling an open door.


Join our group and add to state of the art projects in a speedy and cooperative climate.

(ref:hirist.tech)

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