Machine Learning Engineer

SeaLink; Khanpur; On-site; PKR 2,543,138 - 3,046,176; Full time

Job summary

SeaLink is seeking a Machine Learning Engineer in Khanpur to design and develop algorithms and models. You will collaborate with data scientists and software engineers to analyze large datasets and solve complex problems.

The ideal candidate has strong programming skills in Python, R, or Java, experience with deep learning frameworks like TensorFlow or PyTorch, and a degree in Computer Science or Mathematics.

Compensation is $900 per month.

Qualifications

• Strong programming skills in languages such as Python, R, or Java are required.
• Experience with deep learning frameworks like TensorFlow or PyTorch is preferred.
• A degree in Computer Science, Mathematics, or a related field is required.

Responsibilities

• Design, develop, and implement machine learning algorithms and models.
• Work closely with data scientists and software engineers to analyze large datasets.
• Test, debug, and optimize machine learning models for accuracy and efficiency.

Skills

Strong programming skills in Python, R, or Java

Experience with deep learning frameworks like TensorFlow or PyTorch

Education

Degree in Computer Science, Mathematics, or related field

Job description

Machine Learning Engineer

As a Machine Learning Engineer you will be responsible for designing, developing, and implementing machine learning algorithms and models. You will work closely with data scientists and software engineers to analyze large datasets and develop solutions to complex problems. Your responsibilities will also include testing, debugging, and optimizing machine learning models for accuracy and efficiency.

Qualifications

• Strong programming skills in languages such as Python, R, or Java are required.
• Experience with deep learning frameworks like TensorFlow or PyTorch is preferred.
• A degree in Computer Science, Mathematics, or a related field is required.

Location & Compensation

This position is located in Khanpur with a salary of 900$ per month.