Artificial Intelligence Researcher

1 week ago

Hyderabad, Telangana, India Hylenr Technologies Private Limited Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Title: AI/ML Researcher – Mechanical Systems

Location:
 Hyderabad​

Experience:
 3–5 Years​

Employment Type:
 Full-time

About the Role:

We are looking for a dynamic and interdisciplinary 
AI/ML Researcher
 with a 
mechanical

engineering background
 to join our R&D team in Hyderabad. In this role, you will apply

machine learning and data-driven methods to solve engineering challenges related to

mechanical systems, manufacturing processes, predictive maintenance, and system

optimization.

This is a unique opportunity for someone passionate about bridging the gap between

mechanical engineering and artificial intelligence
.

Key Responsibilities:

∙Develop and implement 
AI/ML algorithms
 for mechanical engineering applications

such as:

predictive maintenance

condition monitoring

process optimization

thermal/fluid/structural system modeling

∙Analyze engineering data from sensors, machines, or simulation results to derive

insights and build predictive models.

∙Use tools like 
Python, TensorFlow, PyTorch, Scikit-learn, MATLAB
 for model

development and deployment.

∙Work with cross-functional teams to integrate AI solutions into 
mechanical or

manufacturing systems
.

∙Validate models using real-world or experimental datasets and continuously improve

model accuracy and reliability.

∙Prepare research reports, technical documentation, and support patent or publication

initiatives.

Required Qualifications:

∙Bachelor's or master's degree in mechanical engineering or 
Mechatronics
, with

additional experience or training in 
AI/ML/Data Science
.

∙3–5 years of relevant experience in 
applying machine learning to mechanical or

engineering systems
.

∙Proficiency in 
Python
, with experience in ML libraries such as 
TensorFlow,

PyTorch, Scikit-learn
.

∙Familiarity with 
signal processing
, 
time series analysis
, or 
simulation data
 (e.g.,

CFD/FEA outputs).

∙Strong understanding of 
engineering fundamentals
 in thermal, fluid, vibration, or

structural domains.

∙Ability to work with large datasets, data preprocessing, and model deployment.

Preferred Qualifications:

∙Experience in 
digital twins
, 
smart manufacturing
, or 
IoT-based condition

monitoring
.

∙Exposure to 
real-time systems
, 
edge computing
, or 
AI in embedded systems
.

∙Knowledge of tools like 
MATLAB/Simulink
, 
Ansys
, or 
SolidWorks
 in combination

with ML models.

∙Publications, patents, or conference presentations in AI for mechanical systems.

Immediate Joiners are preferred.

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