Machine Learning Engineer

India Abroad; Lahore; On-site; PKR 2,638,664 - 3,569,958; Part time

Job summary

India Abroad in Lahore, Pakistan, is seeking a Machine Learning Engineer to design, develop and deploy ML models on-site. You will collaborate with data scientists and software engineers to integrate ML solutions into client platforms and to build scalable data pipelines for large datasets.

The role requires a strong foundation in statistics, Python/Java/C++, ML libraries, and hands-on experience with model evaluation and tuning.

Qualifications

• Bachelors or Masters in Computer Science, Engineering or related field.
• Minimum 2 years of experience in machine learning engineering or related roles.
• Proficient in Python, Java or C++.
• Strong background in statistics, mathematics and algorithm design.
• Experience with ML libraries such as TensorFlow, PyTorch or scikit-learn.
• Knowledge of SQL or NoSQL databases.

Responsibilities

• Design, develop and implement machine learning algorithms and models.
• Collaborate with data scientists and software engineers to integrate ML solutions into platforms.
• Develop data pipelines to clean, preprocess and transform large datasets.
• Conduct experiments to evaluate the performance of different algorithms.
• Continuously monitor and improve the performance of deployed models.
• Stay updated on the latest ML techniques and tools.

Skills

Python

Java

C++

Statistics

Algorithm design

Communication

Education

Bachelors or Masters in CS/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Job description

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Lahore Pakistan. As a Machine Learning Engineer you will be responsible for designing, developing and implementing machine learning algorithms and models to solve complex problems. You will work closely with data scientists and software engineers to build scalable and efficient solutions for our clients.

Responsibilities

• Design, develop and implement machine learning algorithms and models
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing platforms
• Develop data pipelines to clean, preprocess and transform large datasets
• Conduct experiments to evaluate the performance of different algorithms
• Continuously monitor and improve the performance of deployed models
• Stay updated on the latest advancements in machine learning techniques and tools

Requirements

• Bachelors or Masters degree in Computer Science, Engineering or related field
• Minimum of 2 years of experience in machine learning engineering or related roles
• Proficient in programming languages such as Python, Java or C++
• Strong background in statistics, mathematics and algorithm design
• Experience with machine learning libraries such as TensorFlow, PyTorch or scikit-learn
• Knowledge of database systems such as SQL or NoSQL
• Excellent problem-solving skills and ability to think critically
• Strong communication skills and ability to work in a team environment

Preferred

• Experience with cloud computing platforms such as AWS or Google Cloud Platform
• Familiarity with natural language processing (NLP) techniques
• Knowledge of big data tools such as Hadoop or Spark

Salary: This is a part-time position offering a salary of $1000 per month.

Location: The position is located in Lahore, Pakistan. This is an on-site position without accommodation provided.

Visa Sponsorship: We welcome candidates who already have their own visa for working in Pakistan.

Diversity: We strongly encourage women to apply for this position as we are committed to promoting diversity and inclusivity in our workplace.

About Us: Our company is a leading technology firm specializing in data analytics and machine learning solutions. We work with clients from various industries to help them make data-driven decisions and optimize their processes. We value innovation, creativity and collaboration and strive to create a positive and inclusive work environment for all our employees.