NepOps

Senior Machine Learning Engineer

NepOps

Senior Machine Learning Engineer

Senior Machine Learning Engineer

NepOps

kathmandu
Experience: More than 3 years
Key Skills: Datasets Tensorflow Pytorch Theano

Senior Machine Learning Engineer

Views: 81 | This job is expired 3 days, 9 hours ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Mid Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : kathmandu
Apply Before(Deadline) : May. 20, 2024 15:10 (3 days, 9 hours ago)

Job Specification

Education Level : Graduate (Masters)
Experience Required : More than 3 years
Professional Skill Required : Datasets Tensorflow Pytorch Theano

About the job

Overview: We are seeking a highly skilled professional in artificial intelligence and data science to join our team as a Senior Machine Learning Engineer. In this role, you will be responsible for developing sophisticated algorithms to tackle complex problems and enhance technological solutions. You will leverage your deep knowledge in machine learning, natural language processing, and statistics, along with programming skills, to analyze large datasets and create predictive models and autonomous systems.


Key Responsibilities:

  • Design and develop advanced machine learning algorithms to solve complex problems.
  • Utilize natural language processing techniques to extract insights from unstructured data.
  • Analyze large datasets and develop predictive models to enhance technological solutions.
  • Collaborate with cross-functional teams to implement machine learning solutions into production systems.
  • Stay updated with the latest advancements in machine learning and data science to continually improve solutions.

Requirements:

  • 5+ years of experience in machine learning.
  • 3+ years of hands-on experience with TensorFlow, Theano, and Torch 7.
  • Proficiency in Hadoop for processing large datasets.
  • Strong programming skills in Python.
  • Experience with typed programming languages such as Scala, Java, Haskell, Erlang, OCaml, or Lisp is highly desirable.
  • Solid understanding of statistics and probability theory.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication skills and ability to collaborate effectively with team members.

Preferred Qualifications:

  • Master's or Ph.D. in Computer Science, Engineering, Mathematics, or related field.
  • Experience with deep learning frameworks like PyTorch or Keras.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Experience deploying machine learning models into production environments.
  • Familiarity with big data technologies like Spark and Hive.

How to Apply: If you are a highly motivated individual with a passion for artificial intelligence and data science, and meet the requirements outlined above, we encourage you to apply by submitting your resume and a cover letter detailing your relevant experience and accomplishments.


NepOps is an equal opportunity employer and welcomes applications from all qualified individuals

This job has expired.

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