L1 – Junior Machine Learner – THE ORACLE

Wonder Worth Solutions LLC; Vellore; On-site; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

ML training

Real operational data projects

End-to-end ML lifecycle exposure

Collaboration with AI/Tech/Operations

Job summary

Wonder Worth Solutions LLC in India invites a Junior Machine Learner to join the AI & Intelligence Team. You will work across the ML lifecycle—collecting data, building models, validating results, and supporting API-based deployment and monitoring.

You will collaborate with senior teammates to improve model performance on real business problems, apply ML best practices, and learn through hands-on experience with production-ready data and tools in a fast-growing company.

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, Statistics, Mathematics, Engineering or related field.
• 1+ year of experience in Machine Learning, Data Science, Python, or related technical area.
• Programming Languages & Tools: Python, Git.
• Core Concepts: Data preprocessing, feature scaling, regression, classification, clustering, model evaluation metrics, and basic statistics.
• API Integration: Basic knowledge of REST APIs (e.g., FastAPI) for serving model predictions.
• Practical exposure to PyTorch or TensorFlow frameworks.
• Familiarity with the cloud service AWS.
• Understanding of basic database management systems (MongoDB).
• Strong problem-solving and learning ability.

Responsibilities

• Collect, clean, and prepare data for ML projects.
• Perform basic data analysis and identify patterns.
• Build and evaluate machine learning models.
• Perform feature engineering and model testing.
• Document model results, assumptions, and limitations.
• Support API-based deployment and model monitoring.
• Work with senior team members to improve model performance.
• Learn and apply ML best practices to real-world problems.

Skills

Problem-solving ability

Fast learner

Education

Bachelor’s degree in Computer Science, AI, Data Science, Statistics, Mathematics, Engineering

Tools

Python

Git

REST APIs (FastAPI)

PyTorch

TensorFlow

AWS

MongoDB

Job description

• As a Junior Machine Learner, you will work with the AI & Intelligence Team to build practical machine learning solutions for real business and operational problems.
• You will work across the ML lifecycle:

What You Will Own – Your Responsibilities :

• Collect, clean, and prepare data for ML projects.
• Perform basic data analysis and identify patterns.
• Build and evaluate machine learning models.
• Perform feature engineering and model testing.
• Document model results, assumptions, and limitations.
• Support API-based deployment and model monitoring.
• Work with senior team members to improve model performance.
• Learn and apply ML best practices to real-world problems.

Non-Negotiable Metric :

• MODEL QUALITY + DELIVERY + OPERATIONAL IMPACT
• Measured through data quality, model performance, validation results, delivery timelines, documentation, and measurable improvement in assigned operational outcomes.

The Fight: What You will Fight:

• Intelligence without impact.
  A model is valuable only when it helps solve a real problem. You will fight poor data, weak validation, unnecessary complexity, and models that perform well in testing but fail to deliver practical value.
• Your goal is simple: build reliable intelligence that can be understood, used, and improved

WHO THRIVES HERE : Three Traits We Cannot Teach

• You measure impact, not accuracy.
• You govern your own work.
• You build to be understood.

THE WWS PERKS :

• Training in ML, RCM domain knowledge, and production deployment.
• Opportunity to work with real operational data and business problems.
• Exposure to the complete ML development lifecycle.
• Collaboration with AI, Technology, and Operations teams.

Qualifications:

• Bachelor’s degree in Computer Science, AI, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 1+ year of experience in Machine Learning, Data Science, Python, or a related technical area.
• Programming Languages & Tools: Python, Git.
• Core Concepts: Data preprocessing, feature scaling, regression, classification, clustering, model evaluation metrics, and basic statistics.
• API Integration: Basic knowledge of REST APIs (e.g., FastAPI) for serving model predictions.
• Practical exposure to PyTorch or TensorFlow frameworks.
• Familiarity with the cloud service AWS.
• Understanding of basic database management systems (MongoDB).
• Strong problem-solving and learning ability.

WWS Offers A Wide Range Of Services That Give Our Clients The Complete Platform To Comprehending The Entire Medical Practise Workflow. Wws Is Now One Of The Fastest Growing Revenue Cycle Management Companies In The United States.

Wonder Worth Solutions LLC
2711, Centerville Road, Suite 400, Wilmington, Delaware, United States – 19808.