Machine Learning Researcher (MSc. or PhD), Remote- Contract Remote (International)

Dover; India; Remote; INR 3,033,000 - 4,767,000; Part time

Job summary

Dover is seeking a Machine Learning Researcher (MSc or PhD) for a fully remote, contract role of about 15 hours per week with flexible scheduling and task-based compensation.

You will develop and validate ML models, training pipelines, inference systems, and supporting infrastructure in Python. Candidates should hold a master’s or PhD and have strong ML experience, plus proficiency with Python and coding agents.

Qualifications

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.

Responsibilities

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Skills

Machine Learning

Python coding

Education

Master’s degree or PhD in CS/ML/AI/Applied Math/Statistics/Engineering

Tools

Python

Command-line tools

Job description

Role TItle: Machine Learning Researcher (MSc. or PhD)

Location: Global, fully remote

Job Type: Contract (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.

The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.

This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.

Required Skills:

• Machine Learning

What You’ll Work On:

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Required Qualifications:

• A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with
• Python and coding agents.

Compensation Structure:

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply.

Start Timeline & Availability:

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.