Machine Learning Engineer

Cashback24x7; India; Remote; INR 400,000 - 650,000; Part time

Job summary

Cashback24x7 is seeking a Machine Learning Engineer for a remote contract role. You will apply your expertise to train next-generation AI systems, shaping how models learn and perform in real-world use cases.

You will architect algorithms, build data pipelines with MongoDB, and collaborate with cross-functional teams to deploy scalable machine learning solutions, while communicating complex concepts clearly to technical and non-technical stakeholders.

Qualifications

• Proven expertise in Python for ML model development.
• Hands-on experience with ML frameworks and libraries.
• Strong knowledge of MongoDB for data storage and querying.
• Understanding of ML concepts and applications.
• Excellent written and verbal communication for remote work.
• Ability to work independently in a fully remote setting.
• Track record delivering complex ML projects to production.

Responsibilities

• Architect, implement, and optimize advanced machine learning algorithms and systems tailored to business needs.
• Collaborate closely with cross-functional stakeholders to identify opportunities for AI-driven improvements.
• Develop and manage robust data pipelines utilizing MongoDB to facilitate seamless data processing and retrieval.
• Evaluate model performance with thorough A/B testing and continuous monitoring, iterating for maximum impact.
• Document technical processes and model architectures with clarity to support internal knowledge sharing.
• Translate complex technical concepts to both technical and non-technical audiences, ensuring alignment and understanding across the team.
• Uphold best practices in code quality, version control, and scalable deployment.

Skills

Python

Machine Learning

MongoDB

Data Pipelines

Communication

Remote work

Tools

MongoDB

Job description

Job Title:

Machine Learning Engineer

Job Type:

Contract

Location:

Remote

Job Summary:

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

• Architect, implement, and optimize advanced machine learning algorithms and systems tailored to business needs.
• Collaborate closely with cross-functional stakeholders to identify opportunities for AI-driven improvements.
• Develop and manage robust data pipelines utilizing MongoDB to facilitate seamless data processing and retrieval.
• Evaluate model performance with thorough A/B testing and continuous monitoring, iterating for maximum impact.
• Document technical processes and model architectures with clarity to support internal knowledge sharing.
• Translate complex technical concepts to both technical and non-technical audiences, ensuring alignment and understanding across the team.
• Uphold best practices in code quality, version control, and scalable deployment.

Required Skills and Qualifications:

• Expert proficiency in Python for designing and deploying machine learning models.
• Demonstrated experience with core machine learning frameworks and libraries.
• Strong hands-on expertise with MongoDB for data storage, querying, and management.
• Deep understanding of modern machine learning concepts, algorithms, and industry applications.
• Exceptional written and verbal communication skills, with a passion for clear, effective information sharing.
• Proven ability to work autonomously and efficiently in a fully remote setting.
• Track record of delivering complex machine learning projects from concept to production.

Preferred Qualifications:

• Experience with additional NoSQL databases and data engineering tools.
• Background in deploying ML models in cloud environments (AWS, Azure, or GCP).
• Advanced knowledge of data visualization tools and techniques.