Machine Learning Engineer at Park Controls
Listed by DevShelfHub
About the Role
Park Controls and Communications is hiring a Machine Learning Engineer in Bangalore to develop and integrate AI predictive analytics and anomaly detection solutions for real-time telemetry data in Aerospace and Defence applications.
The role integrates ML models and LLM capabilities into C++/Qt applications.
Position Overview
Develop and integrate ML anomaly detection and predictive analytics into C++/Qt applications for real-time telemetry systems. Work with telemetry data from shared memory, UDP, and files to detect anomalies and support decision-making in Aerospace and Defence sectors.
What you'll do
- Develop and integrate ML anomaly detection into C++/Qt applications
- Build data-driven failure prediction for real-time telemetry systems
- Handle missing data and improve model accuracy
- Process real-time (shared memory, UDP) and offline (CSV, logs) data
- Optimize models for low-latency real-time inference
- Integrate ML models with software engineers on C++/Qt systems
- Apply LLMs for text summarization, report generation, and extraction
What we're looking for
- Bachelor's or Master's in technical field
- 0–2 years experience preferably in Aerospace and Defence
- C/C++ and Python programming skills
Eligibility Criteria
- Bachelor's or Master's in technical field
- 0–2 years experience preferably in Aerospace and Defence
- C/C++ and Python programming skills
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Hands-on ML integration with C++/Qt in defence applications
- Real-time telemetry and anomaly detection exposure
- Aerospace and Defence sector experience pathway
- LLM and prompt engineering learning opportunities
- Multi-disciplinary team collaboration
- Bangalore location in HAL 3rd Stage area
- Early-career role with practical embedded ML integration
- Document processes and technical findings
Frequently Asked Questions
What experience is required?
0–2 years, preferably in Aerospace and Defence sectors.
What programming languages are used?
C/C++ for integration and Python for ML model development.
What domain does this role cover?
Real-time telemetry, anomaly detection, and predictive analytics for defence systems.
Are LLMs part of the role?
Yes — LLMs for summarization, report generation, and information extraction.
What location is the role based in?
Bangalore, Karnataka, India.
What education is required?
Bachelor's or Master's in CS, AI/ML, ECE, Data Science, or related field.
Why Join Park Controls?
- ★ Defence and Aerospace sector impact
- ★ Real-time ML on telemetry data
- ★ C++/Qt and Python integration experience
- ★ Anomaly detection and predictive analytics
- ★ Established Indian defence industry player
- ★ Collaborative multi-disciplinary engineering team
About Park Controls
- Industry
- Technology
- Company Size
- 500+
- Website
- parkcontrols.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 0–2 years
- Location
- Bangalore, Karnataka, India
- Work Mode
- Hybrid
- Category
- AI / ML
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