Machine Learning Engineer — Flexible Hours & Growth

NextSolutions; Khanpur; On-site; PKR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health insurance

Flexible work hours

Professional growth

Job summary

NextSolutions in Khanpur, Pakistan is seeking a skilled Machine Learning Engineer to design, develop, and deploy state-of-the-art ML models addressing diverse business problems.

You will collaborate with data scientists, software engineers and product managers to translate requirements into scalable solutions, build robust data pipelines, and monitor model performance, iterating to improve accuracy and efficiency.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics or related field.
• Minimum 2 years of experience as a Machine Learning Engineer or similar role.
• Strong proficiency in Python, Java, or C++.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Experience with big data processing tools like Spark or Hadoop.
• Familiarity with cloud computing platforms like AWS or Azure.
• Excellent problem-solving and collaboration skills.

Responsibilities

• Design, develop, and deploy machine learning models for various use cases.
• Conduct research on cutting-edge ML techniques and algorithms.
• Collaborate with cross-functional teams to identify data requirements.
• Cleanse, preprocess, and analyze large datasets to build accurate models.
• Develop scalable and efficient code for model training and deployment.
• Monitor model performance and fine-tune as needed.
• Communicate findings and insights to stakeholders clearly.

Skills

Python

Java

C++

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

communication

Education

Bachelor's or Master's in CS/Math or related

Tools

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

Job description

NextSolutions in Khanpur, Pakistan is seeking a skilled Machine Learning Engineer to design, develop, and deploy state-of-the-art ML models addressing diverse business problems.

You will collaborate with data scientists, software engineers and product managers to translate requirements into scalable solutions, build robust data pipelines, and monitor model performance, iterating to improve accuracy and efficiency.