Software Specialist
Actively Reviewing the ApplicationsPTC
On-site
Posted 5 hours ago
β’
Apply by June 7, 2026
Job Description
Our world is transforming, and PTC is leading the way.β―Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.
Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow β all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.
Job Summary
We are seeking a passionate Python Developer with experience in AI/ML to build scalable data pipelines, train machine learning models, and deploy intelligent applications. You will collaborate with data scientists, engineers, and product teams to build solutions that solve real-world problems using Python and modern ML frameworks.
π§ Key Responsibilities:
If you share our passion for problem-solving through innovation, youβll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?
We respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here."
Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow β all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.
Job Summary
We are seeking a passionate Python Developer with experience in AI/ML to build scalable data pipelines, train machine learning models, and deploy intelligent applications. You will collaborate with data scientists, engineers, and product teams to build solutions that solve real-world problems using Python and modern ML frameworks.
π§ Key Responsibilities:
- Develop and maintain Python-based applications that leverage AI/ML models.
- Design and implement machine learning pipelines from data ingestion to model deployment.
- Work with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Integrate trained models into production systems using REST APIs or cloud platforms.
- Write efficient, reusable, and well-documented code for ML workflows.
- Optimize model performance and conduct A/B testing or benchmarking.
- Collaborate with data engineers to manage data preprocessing, feature engineering, and cleaning.
- Stay updated with the latest AI/ML research and best practices.
- Strong proficiency in Python 3.x
- Solid understanding of machine learning concepts and algorithms (classification, regression, clustering, etc.)
- Experience with ML libraries like scikit-learn, pandas, NumPy, and matplotlib
- Knowledge of deep learning using TensorFlow or PyTorch
- Familiarity with REST APIs and deployment techniques (Flask, FastAPI, Docker)
- Hands-on with Jupyter Notebooks, Git, and SQL/NoSQL databases
- Experience with ML model deployment on Azure/AWS or MLOps tools
- Exposure to NLP, computer vision, or time-series forecasting
- Knowledge of data engineering concepts (e.g., ETL pipelines, Airflow, Spark)
- Understanding of CI/CD and model versioning practices
- Contribution to open-source AI/ML projects or research publications
If you share our passion for problem-solving through innovation, youβll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?
We respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here."
Required Skills
Machine Learning
Engineering
Forecasting
Git
Cleaning
Flask
FastAPI
Python
Cloud Platforms
SQL
AWS
Research
Docker
Pandas
NumPy
Deep Learning
Computer Vision
Spark
TensorFlow
PyTorch
Scikit-learn
MLOps
Azure
XGBoost
Airflow
ETL
A/B Testing
NoSQL
Data Engineering
CI/CD
Testing
REST APIs
NLP
Regression
Algorithms
Benchmarking
Data ingestion
PTC
Clustering
Preprocessing
Ingestion
Python 3
Notebooks
Physical
Machine learning concepts
Time-series
Data Engineering concepts
ML Frameworks
ETL Pipelines
Model Deployment
SQL/NoSQL
Classification
Jupyter
Matplotlib
AI/ML
SciKit
Feature Engineering
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