Part-Time ML Engineer: Build & Deploy Models

Want More; Gujrat; On-site; PKR 3,399,000 - 4,635,000; Part time

Job summary

Want More is seeking a part-time Machine Learning Engineer in India (Gujrat) to develop, test and deploy ML models and algorithms. You will work with data scientists and software engineers to implement solutions that improve business processes and decision making.

The ideal candidate has a Bachelor’s degree in Computer Science or Mathematics, 2+ years in ML, and programming experience in Python or R, plus experience with Hadoop or Spark.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics or related field.
• At least 2 years of experience as a Machine Learning Engineer or similar.
• Strong knowledge of machine learning algorithms such as regression, classification, clustering etc.
• Proficiency in programming languages such as Python or R
• Experience working with big data technologies like Hadoop or Spark
• Familiarity with deep learning frameworks such as TensorFlow or Keras is a plus
• Excellent problem-solving skills and ability to think critically about complex problems
• Strong communication skills and ability to work effectively in a team environment

Responsibilities

• Develop machine learning models and algorithms to solve business problems
• Test and evaluate model performance using real-world data
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay current with advancements in machine learning techniques and tools
• Communicate complex technical concepts to non-technical stakeholders
• Participate in code reviews and provide feedback for improvement

Skills

Python

R

Problem solving

Communication

Education

Bachelor’s degree in CS/Math

Tools

TensorFlow

Keras

Hadoop

Spark

Job description

Want More is seeking a part-time Machine Learning Engineer in India (Gujrat) to develop, test and deploy ML models and algorithms. You will work with data scientists and software engineers to implement solutions that improve business processes and decision making.

The ideal candidate has a Bachelor’s degree in Computer Science or Mathematics, 2+ years in ML, and programming experience in Python or R, plus experience with Hadoop or Spark.