Junior AI Deep Learning Engineer

Prestige Greeters; Lahore; Hybrid; PKR 4,780,000 - 5,725,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Prestige Greeters in Lahore, Pakistan, is seeking a Junior AI Deep Learning Engineer to join our team and help build cutting-edge AI solutions. You will work on projects spanning image, speech, and NLP tasks, collaborating across disciplines to deploy models in production.

Ideal candidates have at least 2 years of deep learning experience and strong Python and ML framework skills (TensorFlow or PyTorch); visa sponsorship is available and exceptional candidates may work remotely.

Qualifications

• Minimum 2 years of experience in deep learning or related field.
• Strong understanding of machine learning algorithms and concepts.
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch).
• Ability to work independently and in a team.

Responsibilities

• Collaborate with team to research, design, and implement deep learning algorithms.
• Develop data pipelines for training and testing models.
• Implement deep learning models using Python and TensorFlow.
• Optimize model performance through experimentation and tuning.
• Stay updated with AI advancements and communicate results.

Tools

Python

TensorFlow

PyTorch

C++

Java

Job description

AI Deep Learning vacancy in Lahore Pakistan

Junior AI Deep Learning Engineer

As a Junior AI Deep Learning Engineer, you will work with our team in Lahore to develop and implement cutting-edge artificial intelligence solutions. You will have the opportunity to work on a variety of projects, from image and speech recognition to natural language processing and predictive modelling. This role requires at least 2 years of experience in deep learning, as well as a strong understanding of machine learning algorithms and programming languages such as Python and TensorFlow. Visa sponsorship is available for international candidates. We encourage applications from women who are passionate about AI and eager to grow their skills in this rapidly advancing field.

Responsibilities

• Collaborate with team members to research, design, and implement deep learning algorithms
• Develop data pipelines for training and testing models
• Implement deep learning models using programming languages such as Python and TensorFlow
• Optimize model performance through experimentation and fine-tuning
• Stay up-to-date with the latest advancements in AI technology and techniques
• Communicate progress, challenges, and solutions to team members and stakeholders
• Participate in code reviews to ensure high-quality code standards are met

Requirements

• Minimum 2 years of experience in deep learning or related field
• Strong understanding of machine learning algorithms and concepts such as neural networks, reinforcement learning, etc.
• Proficiency in programming languages such as Python, C++, or Java
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Familiarity with data preprocessing techniques for machine learning tasks
• Ability to work independently and collaboratively within a team environment
• Excellent problem-solving skills with attention to detail
• Strong communication skills in English (written and verbal)

Preferred Qualifications

• Master's or PhD degree in Computer Science, Artificial Intelligence, or related field
• Experience working on large-scale AI projects or products
• Knowledge of natural language processing techniques
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Passion for learning and staying updated on emerging AI technologies and techniques

Salary: Competitive salary of 1700$ per month. Visa sponsorship is available for international candidates.

Location: This position is located in Lahore, Pakistan. We are open to remote work options for exceptional candidates.

We welcome applications from all qualified candidates, including women, persons with disabilities, and members of visible minorities. Accommodations are available upon request for candidates taking part in the recruitment process.