AI Deep Learning Engineer

EventMakers Entertainment; Khanpur; On-site; PKR 3,371,000 - 4,038,000; Full time

Benefits offered by this job

Competitive salary

Career growth

Job summary

EventMakers Entertainment in Khanpur, Pakistan, is seeking an AI Deep Learning Engineer to develop and implement cutting-edge models for a range of AI applications. You will work closely with engineers and researchers to design, train, and optimize solutions.

Ideal candidates hold a Bachelor’s degree in CS/EE or related fields and have hands-on experience with TensorFlow or PyTorch, and Python (or C++). Salary is 1200 USD per month and negotiable based on qualifications and experience.

Qualifications

• Bachelor's degree or higher in CS/EE or related field.
• Experience with TensorFlow or PyTorch.
• Strong ML fundamentals and DL architectures (CNNs, RNNs).
• Proficiency in Python or C++.
• Experience with data preprocessing techniques.
• Cloud familiarity (AWS/Azure) is a plus.

Responsibilities

• Develop and implement deep learning algorithms and models for AI applications.
• Conduct research on emerging DL techniques and stay updated with industry advancements.
• Collaborate with cross-functional teams to define project requirements and objectives.
• Design and implement data processing pipelines to prepare data for training DL models.
• Train, evaluate, and fine-tune DL models on large datasets.
• Tune hyperparameters and apply transfer learning to improve performance.
• Analyze model outputs to identify areas for improvement.
• Document code, processes, and results clearly.

Skills

Deep learning

DL frameworks

Python

C++

Data preprocessing

Team collaboration

Problem solving

Education

Bachelor's degree in CS/EE or related

Tools

TensorFlow

PyTorch

Job description

AI Deep Learning vacancy in Khanpur Pakistan

AI Deep Learning Engineer

We are seeking a highly motivated and skilled AI Deep Learning Engineer to join our team in Khanpur. In this role, you will be responsible for developing and implementing cutting-edge deep learning algorithms and models to solve complex problems in the field of artificial intelligence. As a key member of our team, you will work closely with other engineers and researchers to design, develop, and optimize deep learning solutions for a variety of applications.

Key Responsibilities:

• Develop and implement deep learning algorithms and models for various AI applications
• Conduct research on emerging deep learning techniques and stay updated with industry advancements
• Collaborate with cross-functional teams to define project requirements and objectives
• Design and implement data processing pipelines to prepare data for training deep learning models
• Train, evaluate, and fine-tune deep learning models on large datasets
• Optimize model performance by tuning hyperparameters and implementing advanced techniques such as transfer learning
• Perform analysis on model outputs to identify areas for improvement
• Document code, processes, and results in a clear and organized manner

Requirements:

• Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field
• Prior experience working with deep learning frameworks such as TensorFlow or PyTorch
• Strong understanding of machine learning fundamentals and deep learning architectures (CNNs, RNNs, etc.)
• Proficiency in programming languages such as Python or C++
• Experience with data preprocessing techniques (data cleaning, feature extraction)
• Familiarity with cloud computing platforms (AWS, Azure) is a plus
• Excellent problem‑solving skills and ability to think critically
• Strong communication skills and ability to work well in a team environment

Salary: $1200 per month without accommodation. This salary is negotiable based on qualifications and experience.

Location: This position is based in Khanpur. Candidates must have a valid biometric passport.

We welcome candidates of any nationality, but fluency in English is required for this role.

If you are passionate about artificial intelligence and have a strong background in deep learning, we encourage you to apply for this exciting opportunity. Join our team and be part of a dynamic and innovative company that values creativity and fosters personal growth.