Machine Learning Engineer at Embrace IT Pakistan

Job Description

Are you an experienced Machine Learning Engineer looking for an exciting career opportunity in the heart of Islamabad? Embrace IT Pakistan is looking for a highly skilled Machine Learning Engineer to join their dynamic team.

If you have a passion for working with advanced machine learning models and technologies, this could be the perfect role for you. Read on to find out more about the job responsibilities, skills required, and how you can apply.

Why Join Embrace IT Pakistan?

Embrace IT Pakistan is at the forefront of technology and innovation. As a Machine Learning Engineer, you will be part of a team that is working on cutting-edge projects in areas like indoor mapping, computer vision, and machine learning model optimization.

This is a fantastic opportunity to work with a company that values creativity, technical expertise, and leadership.

The company offers a collaborative work environment where your skills will be honed, and you will play a pivotal role in shaping the future of AI and machine learning in Pakistan.

Job Details

Here are the key details for the Machine Learning Engineer position at Embrace IT Pakistan:

1. Job Title: Machine Learning Engineer

2. Company: Embrace IT Pakistan

3. Category: Information Technology

4. Location: Islamabad, Pakistan

5. Job Type: Full-time, On-site

6. Experience: 5+ years of related experience in machine learning, computer vision, or AI

7. Qualifications: Bachelor’s in Computer Science (HEC recognized university)

8. Skills: Python, machine learning models, PyTorch, TensorFlow, cloud platforms (GCP preferred), API development, etc.

9. Salary: Market competitive with additional benefits

10. Shift Time: Morning (standard office hours)

11. Apply: Apply at Growthify.Pk

Key Responsibilities

The Machine Learning Engineer will be responsible for a wide range of tasks aimed at improving and optimizing machine learning models and infrastructure. Here’s a closer look at the main duties:

1. Develop Advanced Machine Learning Models

As a Machine Learning Engineer, you will be tasked with developing and improving advanced ML models, focusing on areas like indoor mapping and computer vision. You will work with cutting-edge technologies to create highly efficient algorithms that can transform raw data into actionable insights.

2. Scale and Manage ML Infrastructure

You will be responsible for scaling and managing the machine learning infrastructure, particularly in cloud environments. Familiarity with Google Cloud Platform (GCP) is preferred, but your focus will be on ensuring that ML systems perform optimally in production environments.

3. Lead External Annotation Teams

A significant part of the role involves coordinating and leading external annotation teams. You will ensure that data annotation processes are efficient, high-quality, and aligned with project goals. Data labeling is critical for building accurate and reliable ML models, and you will play a key role in overseeing these efforts.

4. Conduct and Manage ML Experiments

You will oversee and manage machine learning experiments with a focus on ensuring high-quality, accurate, and performant models. Experimentation is crucial for model improvement, and you will need to have a keen eye for detail to manage the processes effectively.

5. Develop Rule-Based Systems for ML Enhancement

You will also work on developing rule-based systems to enhance the machine learning models. Rule-based systems are a useful tool in refining ML predictions, and your expertise will help fine-tune algorithms for better performance.

6. Work with MLOps and CI/CD Pipelines

Familiarity with MLOps and CI/CD pipelines is essential for this role. You will be involved in automating the deployment of ML models, ensuring smooth integration into production environments and maintaining high availability and reliability.

Required Skills and Qualifications

To excel in this role, Embrace IT Pakistan is looking for candidates with the following qualifications and skills:

1. Educational Qualification: A Bachelor’s degree in Computer Science from an HEC-recognized university.

2. Experience: Minimum of 5 years in machine learning, AI, or computer vision, with proven experience in model development, scaling, and cloud infrastructure management.

3. Technical Skills: Proficiency in Python programming, PyTorch, TensorFlow, and Jupyter Notebooks.

4. Cloud Platforms: Experience with Google Cloud Platform (GCP) and familiarity with other cloud services.

5. Leadership: Strong leadership skills with experience in managing external data annotation teams and overseeing large-scale ML projects.

6. MLOps: Knowledge of MLOps practices and CI/CD pipelines for efficient model deployment.

Why This Role Is Perfect for You

If you have a strong background in machine learning, computer vision, and cloud computing, this position offers you the opportunity to work on innovative and challenging projects.

Embrace IT Pakistan is looking for someone who can bring their expertise in ML model development, data annotation management, and cloud infrastructure to the table.

By joining this team, you’ll play a crucial role in developing solutions that can transform industries through AI and machine learning. This is a fantastic opportunity for anyone looking to make a significant impact in the world of AI.

How to Apply

If you meet the qualifications and are excited about the opportunity to contribute to cutting-edge AI projects, Apply at Growthify.Pk to submit your application. Don’t miss out on the chance to join a leading IT company in Pakistan and take your machine learning career to the next level!

Conclusion

The Machine Learning Engineer role at Embrace IT Pakistan offers an exciting opportunity for professionals who are passionate about artificial intelligence and machine learning.

With the chance to work on innovative projects, lead teams, and scale ML models in cloud environments, this is a great role for those looking to advance their career.

If you have the skills and experience required, apply now and be part of a company that is shaping the future of technology in Pakistan!