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. Your primary focus will be to create and improve systems that can learn from data and make accurate predictions. You will work closely with data scientists, software engineers, and other technical teams to build scalable and efficient ML solutions.
Responsibilities:
- Develop machine learning models for various applications such as predictive maintenance, anomaly detection, and recommendation systems
- Implement algorithms to extract insights from large datasets
- Collaborate with cross-functional teams to understand business needs and provide ML solutions
- Build scalable and efficient systems for data processing, feature engineering, model training, and deployment
- Stay up-to-date with the latest advancements in machine learning techniques and tools
- Ensure the accuracy, reliability, and scalability of ML models through continuous monitoring and improvement.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science or related field
- Proven experience (at least 2 years) in developing machine learning models using Python or R
- Strong understanding of statistics, data structures, algorithms, and database concepts
- Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus
- Familiarity with distributed computing tools like Spark or Hadoop is preferred
- Knowledge of software development best practices including version control (Git), code reviews, testing methodologies is a plus
- Excellent problem-solving skills and ability to work independently as well as in a team environment.
Location: This position is based in Multan but we are open to considering remote work options for highly qualified candidates.
Salary: $1300 per month.
Employment Type: Full-time.
Accommodation: This job does not include accommodation.
Gender Preference: This job is suitable for both men and women.
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views: 252
valid through: 2026-05-13