Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to support our company's products and services. You will work with cross-functional teams to identify business needs and develop solutions that utilize machine learning techniques. Your duties will include data preparation, feature engineering, model training and validation, and deployment of models into production systems. You will also be responsible for maintaining and improving existing machine learning systems.
To be successful in this role, you should have a strong background in mathematics and statistics, as well as experience in programming languages such as Python or R. Knowledge of machine learning frameworks such as TensorFlow or PyTorch is also required. A degree in Computer Science, Mathematics, or a related field is preferred but not required.
As this is a full-time job based in Lahore, we are looking for candidates who are currently living in or willing to relocate to the city. The salary for this position is $1500 per month without accommodation. This position is suitable for men with relevant experience and expertise.
Responsibilities:
- Designing and developing machine learning algorithms and models
- Collaborating with cross-functional teams to identify business needs
- Preparing data sets for training and validation
- Feature engineering to enhance model performance
- Training and validating models using appropriate techniques
- Deploying models into production systems
- Maintaining existing machine learning systems and continuously improving them
- Staying up-to-date with industry developments in machine learning
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field (preferred)
- Strong background in mathematics/statistics
- Proficiency in programming languages such as Python or R
- Experience with machine learning frameworks (e.g. TensorFlow, PyTorch)
- Familiarity with data preparation techniques (cleaning, preprocessing)
- Experience with feature engineering to improve model performance
- Ability to work in a team and communicate effectively
- Strong problem-solving skills and attention to detail
- Experience with deploying models into production systems is a plus
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views: 188
valid through: 2026-06-08