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The role of a Machine Learning Engineer focuses on applying machine learning algorithms and statistical models to solve real world problems. ML Engineers build and deploy models that improve through experience and data while contributing to AI product development.
Design build and optimize machine learning models.
Develop predictive and classification models.
Optimize models for scalability and performance.
Deploy models into production.
Collaborate with the sales team to understand client needs.
Present technical solutions and demonstrate how they meet client objectives.
Participate in client meetings and contribute to proposal development.
Work with engineering sales and other departments.
Communicate complex concepts to technical stakeholders.
Monitor and maintain live models.
Stay current with industry trends tools and technologies.
Participate in professional development opportunities.
Bachelor's or Master's degree in Computer Science Data Machine Learning or a related field.
3 to 4 years of hands on experience in machine learning NLP OCR and production environments.
Proficiency in Python and ML frameworks such as TensorFlow PyTorch or Keras.
Strong experience in API development using FastAPI Flask or Django.
Knowledge of queuing systems such as RabbitMQ Redis or Celery for handling asynchronous tasks.
Expertise in 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 streamlined model deployment.
Location: Wah Cantt Taxila
Experience: 4 to 6 Years