AI/ML Specialist

Siemens Limited; Dadri; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Health insurance

Competitive salary and comprehensive 1

Opportunities for professional growth

Paid time off

Job summary

Siemens Limited is seeking a skilled ML Engineer to apply AI/ML techniques to industrial challenges. You will build and deploy models for predictive maintenance, optimization, and anomaly detection across sensor data in various industrial settings.

The role requires advanced degrees, strong Python, and experience with TensorFlow/PyTorch, plus time-series forecasting. Collaboration with engineers and domain experts is essential to translate needs into effective solutions and communicate results

Qualifications

• Master's degree or PhD in Computer Science, Engineering or related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks (TensorFlow, PyTorch).
• Experience with time-series analysis and forecasting techniques.
• Understanding of industrial processes and data is preferred.
• Excellent analytical and problem-solving skills.

Responsibilities

• Develop and deploy machine learning models for predictive maintenance, process optimization, and anomaly detection.
• Work with large datasets from industrial sensors and equipment.
• Collaborate with engineers and domain experts to understand business needs and translate them into technical solutions.
• Evaluate model performance and iterate on models to improve accuracy and reliability.
• Prepare reports and presentations to communicate findings and recommendations to stakeholders.
• Stay up-to-date on AI/ML advancements and their industry applications.

Skills

Analytical skills

Problem-solving

Python programming

Education

Master's or PhD in CS/Engineering

Tools

TensorFlow

PyTorch

Time-series analysis

Job description

What role you will play in team: You will be a key member of our team responsible for applying AI/ML techniques to solve industrial challenges.

What you will do: You'll work on projects involving predictive maintenance, process optimization, and anomaly detection in various industrial settings.

Key responsibility:Develop and deploy machine learning models for predictive maintenance, process optimization, and anomaly detection.Work with large datasets from industrial sensors and equipment.Collaborate with engineers and domain experts to understand business needs and translate them into technical solutions.Evaluate model performance and iterate on models to improve accuracy and reliability.Prepare reports and presentations to communicate findings and recommendations to stakeholders.Stay up-to-date on the latest advancements in AI/ML and their applications in industry.

Required Qualification and Skills:Master's degree or PhD in Computer Science, Engineering, or a related field.Strong programming skills in Python.Experience with machine learning frameworks (TensorFlow, PyTorch).Experience with time-series analysis and forecasting techniques.Understanding of industrial processes and data is preferred.Excellent analytical and problem-solving skills.

Benefits Included:

• Competitive salary and comprehensive benefits.
• Opportunities for professional development and career growth.
• Work on challenging and impactful projects.
• Health insurance.
• Paid time off.

A Day in the Life: A day could involve model training, data analysis, collaboration with engineers, and presenting project updates to management. .