WorldLink Communications

Machine Learning Engineer

WorldLink Communications

Machine Learning Engineer

WorldLink is the largest broadband service provider in Nepal employing over 5,000 people and connecting over 950000 households over its own nation-wide, state-of-the-art optical fiber network. Today, over 3.4 million netizens use WorldLink to access the Internet, representing around one-third of all active Internet users in the country. Around 1.75 million TV viewers use WorldLink’s IPTV services to watch live TV and video-on-demand entertainment. Established in 1995, WorldLink is a rare success story of patience, perseverance and persistence in Nepal. As a result, WorldLink has attracted the largest foreign private equity investment in Nepal, with investments from BII and Dolma Fund.

WorldLink is the largest broadband service provider in Nepal employing over 5,000 people and connecting over 950000 households over its own nation-wide, state-of-the-art optical fiber network. Today, over 3.4 million netizens use WorldLink to access the Internet, representing around one-third of all active Internet users in the country. Around 1.75 million TV viewers use WorldLink’s IPTV services to watch live TV and video-on-demand entertainment. …

Machine Learning Engineer

Views: 533 | Apply Before: 1 week, 4 days from now

Basic Job Information

Job Category : IT & Telecommunication > Programmer/ Software Engineer
Job Level : Senior Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : Jawalakhel, Lalitpur
Offered Salary : Not Disclosed
Apply Before(Deadline) : Feb. 19, 2025 23:55 (1 week, 4 days from now)

Job Specification

Education Level : Graduate (Masters)
Experience Required : More than 2 years
Professional Skill Required : Artificial Intelligence (Ai) SQL Software Engineering Python Nosql
Other Specification
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
  • Minimum of 2 years of experience in AI/ML field.
  • Strong programming skills in Python and experience with relevant machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).  
  • Solid understanding of statistical methods, machine learning algorithms and techniques (e.g., Regression, Classification, Clustering, Deep learning).  
  • Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib)
  • Experience with databases (SQL/NoSQL) and data pipelines.
  • Experience with deploying and maintaining machine learning models in production.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Passion for AI/ML and its potential to solve real-world problems. 

Job Description

  • Design, develop, and implement machine learning models and AI algorithms.
  • Collect, clean, and preprocess large datasets for model training and evaluation.
  • Select appropriate machine learning algorithms and techniques based on the problem domain and data characteristics.
  • Train, evaluate, and optimize machine learning models to achieve desired performance metrics.
  • Deploy and maintain machine learning models in production environments.
  • Collaborate with cross-functional teams, including software engineers, and product teams to integrate AI/ML solutions into applications or workflows.
  • Document and present technical findings and recommendations.
  • Contribute to the development of our AI/ML infrastructure and best practices. 
  • Stay updated on the latest trends and advancements in AI and machine learning.

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