Principal Machine Learning Operations Developer for AEC
Autodesk
Principal Machine Learning Operations Developer for AEC
Job Description
Principal Machine Learning Operations Developer for AEC
📋 Job Overview
The Principal Machine Learning Operations Developer for AEC at Autodesk leads the development and deployment of scalable ML pipelines to enhance architectural, engineering, and construction workflows. This role involves collaborating with cross-functional teams to integrate AI solutions into Autodesk's design and simulation tools. The position is available in 13 global locations, focusing on innovation in the AEC industry through advanced MLOps practices.
📍 Location: 13 Locations, 13 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement MLOps pipelines for ML model training, validation, and deployment
- Collaborate with data scientists and engineers to optimize AI models for AEC use cases
- Ensure reliability, scalability, and monitoring of ML systems in production
- Mentor junior developers and drive best practices in machine learning operations
- Integrate ML solutions with Autodesk's cloud and on-premise platforms
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 8+ years of experience in machine learning operations or DevOps for AI
- Proven track record in deploying ML models at scale in production environments
- Strong understanding of AEC domain challenges and workflows
- Experience with cloud platforms (AWS, Azure, or GCP)
⭐ Preferred Qualifications
- PhD in a relevant field
- Experience with Autodesk software (e.g., Revit, AutoCAD)
- Knowledge of BIM (Building Information Modeling) standards
- Contributions to open-source MLOps projects
- Familiarity with edge computing for AEC applications
🛠️ Required Skills
- Proficiency in Python, TensorFlow, and PyTorch
- Expertise in Kubernetes, Docker, and CI/CD tools (Jenkins, GitLab CI)
- Experience with ML frameworks like Kubeflow or MLflow
- Strong skills in data pipelines (Apache Airflow, Kafka)
- Knowledge of version control (Git) and infrastructure as code (Terraform)
- Excellent problem-solving and communication skills
- Familiarity with SQL, NoSQL databases, and big data tools (Spark)
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible remote work options across 13 locations
- Professional development stipend and tuition reimbursement
- Generous paid time off and parental leave
- Stock options and employee stock purchase program
Locations
- 13 Locations, 13 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, TensorFlow, and PyTorchintermediate
- Expertise in Kubernetes, Docker, and CI/CD tools (Jenkins, GitLab CI)intermediate
- Experience with ML frameworks like Kubeflow or MLflowintermediate
- Strong skills in data pipelines (Apache Airflow, Kafka)intermediate
- Knowledge of version control (Git) and infrastructure as code (Terraform)intermediate
- Excellent problem-solving and communication skillsintermediate
- Familiarity with SQL, NoSQL databases, and big data tools (Spark)intermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field (experience)
- 8+ years of experience in machine learning operations or DevOps for AI (experience)
- Proven track record in deploying ML models at scale in production environments (experience)
- Strong understanding of AEC domain challenges and workflows (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
Preferred Qualifications
- PhD in a relevant field (experience)
- Experience with Autodesk software (e.g., Revit, AutoCAD) (experience)
- Knowledge of BIM (Building Information Modeling) standards (experience)
- Contributions to open-source MLOps projects (experience)
- Familiarity with edge computing for AEC applications (experience)
Responsibilities
- Design and implement MLOps pipelines for ML model training, validation, and deployment
- Collaborate with data scientists and engineers to optimize AI models for AEC use cases
- Ensure reliability, scalability, and monitoring of ML systems in production
- Mentor junior developers and drive best practices in machine learning operations
- Integrate ML solutions with Autodesk's cloud and on-premise platforms
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible remote work options across 13 locations
- general: Professional development stipend and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Stock options and employee stock purchase program
Tags & Categories
Answer 10 quick questions to check your fit for Principal Machine Learning Operations Developer for AEC @ Autodesk.
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Principal Machine Learning Operations Developer for AEC
Autodesk
Principal Machine Learning Operations Developer for AEC
Job Description
Principal Machine Learning Operations Developer for AEC
📋 Job Overview
The Principal Machine Learning Operations Developer for AEC at Autodesk leads the development and deployment of scalable ML pipelines to enhance architectural, engineering, and construction workflows. This role involves collaborating with cross-functional teams to integrate AI solutions into Autodesk's design and simulation tools. The position is available in 13 global locations, focusing on innovation in the AEC industry through advanced MLOps practices.
📍 Location: 13 Locations, 13 Locations
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement MLOps pipelines for ML model training, validation, and deployment
- Collaborate with data scientists and engineers to optimize AI models for AEC use cases
- Ensure reliability, scalability, and monitoring of ML systems in production
- Mentor junior developers and drive best practices in machine learning operations
- Integrate ML solutions with Autodesk's cloud and on-premise platforms
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 8+ years of experience in machine learning operations or DevOps for AI
- Proven track record in deploying ML models at scale in production environments
- Strong understanding of AEC domain challenges and workflows
- Experience with cloud platforms (AWS, Azure, or GCP)
⭐ Preferred Qualifications
- PhD in a relevant field
- Experience with Autodesk software (e.g., Revit, AutoCAD)
- Knowledge of BIM (Building Information Modeling) standards
- Contributions to open-source MLOps projects
- Familiarity with edge computing for AEC applications
🛠️ Required Skills
- Proficiency in Python, TensorFlow, and PyTorch
- Expertise in Kubernetes, Docker, and CI/CD tools (Jenkins, GitLab CI)
- Experience with ML frameworks like Kubeflow or MLflow
- Strong skills in data pipelines (Apache Airflow, Kafka)
- Knowledge of version control (Git) and infrastructure as code (Terraform)
- Excellent problem-solving and communication skills
- Familiarity with SQL, NoSQL databases, and big data tools (Spark)
🎁 Benefits & Perks
- Comprehensive health, dental, and vision insurance
- 401(k) matching and retirement plans
- Flexible remote work options across 13 locations
- Professional development stipend and tuition reimbursement
- Generous paid time off and parental leave
- Stock options and employee stock purchase program
Locations
- 13 Locations, 13 Locations
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, TensorFlow, and PyTorchintermediate
- Expertise in Kubernetes, Docker, and CI/CD tools (Jenkins, GitLab CI)intermediate
- Experience with ML frameworks like Kubeflow or MLflowintermediate
- Strong skills in data pipelines (Apache Airflow, Kafka)intermediate
- Knowledge of version control (Git) and infrastructure as code (Terraform)intermediate
- Excellent problem-solving and communication skillsintermediate
- Familiarity with SQL, NoSQL databases, and big data tools (Spark)intermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field (experience)
- 8+ years of experience in machine learning operations or DevOps for AI (experience)
- Proven track record in deploying ML models at scale in production environments (experience)
- Strong understanding of AEC domain challenges and workflows (experience)
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
Preferred Qualifications
- PhD in a relevant field (experience)
- Experience with Autodesk software (e.g., Revit, AutoCAD) (experience)
- Knowledge of BIM (Building Information Modeling) standards (experience)
- Contributions to open-source MLOps projects (experience)
- Familiarity with edge computing for AEC applications (experience)
Responsibilities
- Design and implement MLOps pipelines for ML model training, validation, and deployment
- Collaborate with data scientists and engineers to optimize AI models for AEC use cases
- Ensure reliability, scalability, and monitoring of ML systems in production
- Mentor junior developers and drive best practices in machine learning operations
- Integrate ML solutions with Autodesk's cloud and on-premise platforms
Benefits
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement plans
- general: Flexible remote work options across 13 locations
- general: Professional development stipend and tuition reimbursement
- general: Generous paid time off and parental leave
- general: Stock options and employee stock purchase program
Tags & Categories
Answer 10 quick questions to check your fit for Principal Machine Learning Operations Developer for AEC @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs