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Machine Learning Engineer

1 month ago

Santa Clara, United States S3Vision Software Pvt Ltd Full time

Hi,


Please go through the below requirements and let me know your interest and forward your resume along with your contact information to raja@s3vision.com



Role : Machine Learning Engineer

Location : Santa Clara, CA (Onsite)

Client : LA2TTN/Purple Grids

Duration : Long Term Contract - C2C


Job Description:

Responsibilities:

  • Create machine learning models and algorithms tailored to address precise business challenges.
  • Work alongside data scientists, software engineers, and domain experts to collect requirements and establish project goals.
  • Conduct data analysis, data preprocessing, and feature engineering to prepare datasets for model training.
  • Implement and optimize machine learning algorithms using programming languages such as Python, R, or Julia.
  • Utilize machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn for model development and experimentation.
  • Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency.
  • Implement machine learning models in production environments and oversee their performance using relevant metrics.
  • Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.
  • Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.

Requirements:


  • A degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field at the Bachelor's or Master's level.
  • High-level expertise in programming languages such as Python, R, or Julia.
  • Proficiency in utilizing machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
  • A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Experience with data manipulation, preprocessing, and feature engineering techniques.
  • Excellent problem-solving skills and analytical thinking.
  • Strong communication and collaboration skills.