Machine Learning Engineer

Essence Innovation; Mohali; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Essence Innovation in Mohali district is seeking a full-time, on-site Machine Learning Engineer to design, develop, and deploy models powering real-time health insights and personalized recommendations in our AI health app.

You will research algorithms, build neural networks, optimize performance on large datasets, and collaborate with product, data, and engineering teams to deliver scalable solutions and robust documentation.

Qualifications

• Strong foundation in computer science including data structures and algorithms.
• Hands-on experience with neural networks and pattern recognition for real-world ML applications.
• Proficiency in statistics and quantitative analysis for model evaluation and optimization.
• Practical experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and Python.
• Experience with large-scale datasets, data preprocessing, and production deployment.
• Ability to collaborate in cross-functional teams and document work effectively.
• Bachelor’s or Master’s degree in CS, Data Science, Engineering, or related field; or equivalent practical experience.
• Background in healthcare, health tech, or regulated data environments is a plus.

Responsibilities

• Design, develop, and deploy ML models powering real-time health insights and personalized recommendations.
• Research algorithms, build and optimize neural networks, and apply pattern recognition techniques.
• Collaborate with product, data, and engineering teams to translate healthcare requirements into scalable solutions.
• Maintain model performance and data quality; monitor systems and documentation.

Skills

Neural Networks

Pattern Recognition

Python

TensorFlow

PyTorch

Scikit-learn

Statistics

Data Structures

Team Collaboration

Education

Bachelor’s or Master’s in CS/DS/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Company Description

Essence Innovation develops an AI-powered health app designed to put individuals at the center of their healthcare journey. The platform enables users to seamlessly manage medical records, access real-time health insights, and connect with global healthcare services from a single, secure location. By making complete medical histories easily accessible, the app helps users take informed actions to support long-term well-being. Essence Innovation focuses on empowering people to claim ownership of their medical data and gain greater control over their healthcare decisions.

Role Description

This is a full-time, on-site Machine Learning Engineer role based in the Mohali district. The Machine Learning Engineer will design, develop, and deploy machine learning models that power real-time health insights and personalized recommendations in the app. Daily tasks include researching and implementing algorithms, building and optimizing neural network architectures, and working with pattern recognition techniques to improve data-driven features. The role involves collaborating with product, data, and engineering teams to translate healthcare requirements into scalable technical solutions, as well as maintaining model performance, monitoring data quality, and contributing to system architecture and documentation.

Qualifications

• Strong foundation in Computer Science, including data structures, Algorithms, and software engineering principles.


• Hands-on experience with Neural Networks and Pattern Recognition for real-world machine learning applications.


• Proficiency in Statistics and quantitative analysis for model evaluation, experimentation, and performance optimization.


• Practical experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python.


• Experience working with large-scale datasets, data preprocessing, and model deployment in production environments.


• Ability to collaborate in cross-functional teams, communicate technical concepts clearly, and document work effectively.


• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.


• Background in healthcare, health tech, or regulated data environments is a plus.