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The Machine Learning Engineer will apply machine learning algorithms and statistical models to solve real world problems. The role involves building and deploying models that improve through data and experience while contributing to AI product development and production systems.
Design build and optimize machine learning models.
Develop predictive and classification models.
Optimize models for scalability and performance.
Deploy machine learning models into production.
Monitor and maintain live models.
Apply NLP and OCR techniques to real world applications.
Collaborate with engineering and sales teams to understand client requirements.
Present technical solutions and demonstrate how they address client objectives.
Participate in client meetings and contribute to proposal development.
Communicate complex technical concepts to stakeholders.
Stay updated with emerging machine learning tools technologies and industry trends.
Participate in professional development opportunities.
Bachelor's or Master's degree in Computer Science Data Science Machine Learning or a related field.
3 to 4 years of hands on experience in machine learning NLP OCR and production environments.
Strong proficiency in Python and machine learning frameworks such as TensorFlow PyTorch or Keras.
Experience with API development using FastAPI Flask or Django.
Knowledge of queuing and task processing systems such as RabbitMQ Redis or Celery.
Strong understanding of NLP techniques and OCR tools including Tesseract and OpenCV.
Experience with NLP libraries such as spaCy and NLTK.
Familiarity with cloud platforms such as AWS and Google Cloud.
Understanding of MLOps practices for efficient model deployment and management.
Location: Wah Cantt Taxila
Experience: 4 to 6 Years
This opening is no longer accepting applications. See our open positions.