Job Description

Date Posted:

2025-11-04

Country:

India

Location:

North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064

Position Role Type:

Unspecified

Position:

Senior Lead Engineer - Prognostic Health Monitoring

Education:

Bachelors / Masters in Mechanical /Aeronautical / Electrical / Data Science

Skill sets

:

Python (Pandas, Numpy, Matplotlib, Seaborn, Scikit learn, Tensorflow) Well versed with PHM (Prognostic Health Monitoring) concepts of feature engineering, anomaly detection, model performance metrics, signal processing, statistical analysis Knowledge on Physics based analytics & physics informed Machine Learning approaches Solid foundation in machine learning algorithms (regression, classification, anomaly detection, time-series forecasting).

:

Develop

physics

based

analytics & physics

informed machine learning-based analytics

for

sensor

y

data

from aircraft systems (e.g., engines, actuators, fuel and air conditioning systems). Work closely with

SMEs, design engineers, and PHM teams

to understand the physical behavior of systems and translate it into analytical models. Analyze and process

large-scale time-series data

using

Databricks

,

PySpark

, and distributed computing frameworks. Develop

fault detection

,

degradation tracking

, and

anomaly detection

algorithms using statistical and ML methods. Integrate

physics-based features

(derived from thermodynamics, fluid mechanics, or system modeling) with ML models for improved interpretability and accuracy. Perform

feature engineering, dimensionality reduction, and signal fusion

across multiple sensors and systems. Validate and verify analytics using

test data and SME feedback

, ensuring physical consistency and robustness. Collaborate in the development of

digital twins

,

prognostics and health management (PHM)

models, and

predictive maintenance

frameworks.

Other Preferred skill sets that are nice to have:

Experience developing

physics-informed neural networks (PINNs)

or

hybrid physics + ML models

. Knowledge of

prognostics and health management (PHM)

,

RUL (Remaining Useful Life)

estimation, and

system-level health modeling

. Familiarity with

simulation tools

(MATLAB/Simulink, Modelica, NPSS) for validation and model correlation. Experience with

digital twin frameworks

or

model-based system engineering (MBSE)

environments. Exposure to

cloud-based analytics

,

CI/CD pipelines

, and

MLflow

for model management.

Collins Aerospace

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market.

Avionics:

Our Avionics team advances aviation electronics and information management solutions for commercial and military customers across the world. That means we're helping passengers reach their destination safely. We're connecting aircraft operators, airports, rail and critical infrastructure with intelligent data service solutions that keep passengers, flight crews and militaries connected and informed. And we're providing industry-leading fire protection and safety systems that our customers can count on when it matters most. Are you ready to learn from the most knowledgeable experts in the industry, develop the technologies of tomorrow and reach new heights in your career? Join our Avionics team today.

WE ARE REDEFINING AEROSPACE.

Please consider the following role type definitions as you apply for this role.

Onsite:

Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Hybrid:

Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Remote:

Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed.

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings.


Some of our competitive benefits package includes:

Benefits package includes:

Meal coupons Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of contingency leave annually. Employee scholar programme. Work life balance. Car lease programme. National Pension Scheme LTA Fuel & Maintenance /Driver wages

Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen.


Note:

Background check and drug screen required (every external new hire in the India) Drug Screen only performed for Operations Positions

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other - propel us all higher, again and again.



Apply now and be part of the team that's redefining aerospace, every day

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms