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Machine Learning Engineer

Summary

Design and deploy ML models to solve business problems, collaborating with data scientists and engineers using Python, TensorFlow/PyTorch, and cloud platforms.

We are hiring a talented Machine Learning Engineer to join our team in Khanpur. As a Machine Learning Engineer you will be responsible for designing, developing and implementing machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists and software engineers to create innovative solutions that drive business growth.

Responsibilities

  • Design and develop machine learning models and algorithms based on business requirements
  • Conduct data preprocessing, feature engineering and model selection to improve performance
  • Collaborate with cross‑functional teams to understand business needs and identify opportunities for applying machine learning techniques
  • Implement machine learning models in production environments ensuring scalability and efficiency
  • Monitor model performance and make necessary adjustments to improve accuracy
  • Stay updated with the latest advancements in machine learning and incorporate them into existing systems

Requirements

  • Bachelors or Masters degree in Computer Science, Data Science or a related field
  • Proven experience as a Machine Learning Engineer or similar role
  • Strong understanding of machine learning algorithms such as regression, classification, clustering, etc.
  • Proficiency in programming languages such as Python, Java or R
  • Experience with deep learning frameworks like TensorFlow or PyTorch
  • Familiarity with cloud computing platforms such as AWS or Azure
  • Excellent problem‑solving skills and attention to detail
  • Ability to work independently as well as collaboratively in a team environment

Benefits

  • Competitive salary of 1400$
  • Free visa and ticket for international candidates
  • Opportunity to work on cutting‑edge projects using the latest technologies
  • Professional development opportunities through training programs and conferences
  • Flexible work hours
  • Vibrant company culture with regular team outings and events

See also