Principal Core Services Engineer(AI/ML Focus)
Autodesk
Principal Core Services Engineer(AI/ML Focus)
Job Description
Principal Core Services Engineer(AI/ML Focus)
📋 Job Overview
The Principal Core Services Engineer (AI/ML Focus) at Autodesk leads the development and optimization of core infrastructure services with a strong emphasis on AI and machine learning technologies. This role involves architecting scalable systems, integrating ML models into cloud services, and collaborating with cross-functional teams to drive innovation in Autodesk's product ecosystem. The position requires deep expertise in distributed systems and AI to ensure high-performance, reliable services supporting Autodesk's design and engineering software.
📍 Location: Bengaluru
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement scalable core services for AI/ML workloads
- Optimize infrastructure for machine learning model training and inference
- Collaborate with product teams to integrate AI capabilities into Autodesk platforms
- Lead code reviews, mentor junior engineers, and drive technical best practices
- Troubleshoot and resolve complex performance issues in production environments
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 10+ years of experience in software engineering with focus on core services and infrastructure
- Proven experience in AI/ML system design and deployment
- Strong background in cloud computing and distributed systems
⭐ Preferred Qualifications
- PhD in AI, Machine Learning, or related discipline
- Experience with Autodesk products or similar CAD/BIM software
- Contributions to open-source AI/ML projects
- Leadership experience in agile teams
🛠️ Required Skills
- Proficiency in Python, Java, or C++ for backend development
- Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
- Knowledge of distributed computing, microservices, and RESTful APIs
- Strong problem-solving and communication skills
- Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health and wellness programs
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Employee stock purchase plan and retirement savings
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
3,500,000 - 5,500,000 INR / 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, Java, or C++ for backend developmentintermediate
- Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)intermediate
- Knowledge of distributed computing, microservices, and RESTful APIsintermediate
- Strong problem-solving and communication skillsintermediate
- Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)intermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- 10+ years of experience in software engineering with focus on core services and infrastructure (experience)
- Proven experience in AI/ML system design and deployment (experience)
- Strong background in cloud computing and distributed systems (experience)
Preferred Qualifications
- PhD in AI, Machine Learning, or related discipline (experience)
- Experience with Autodesk products or similar CAD/BIM software (experience)
- Contributions to open-source AI/ML projects (experience)
- Leadership experience in agile teams (experience)
Responsibilities
- Design and implement scalable core services for AI/ML workloads
- Optimize infrastructure for machine learning model training and inference
- Collaborate with product teams to integrate AI capabilities into Autodesk platforms
- Lead code reviews, mentor junior engineers, and drive technical best practices
- Troubleshoot and resolve complex performance issues in production environments
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health and wellness programs
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Employee stock purchase plan and retirement savings
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Answer 10 quick questions to check your fit for Principal Core Services Engineer(AI/ML Focus) @ Autodesk.
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Principal Core Services Engineer(AI/ML Focus)
Autodesk
Principal Core Services Engineer(AI/ML Focus)
Job Description
Principal Core Services Engineer(AI/ML Focus)
📋 Job Overview
The Principal Core Services Engineer (AI/ML Focus) at Autodesk leads the development and optimization of core infrastructure services with a strong emphasis on AI and machine learning technologies. This role involves architecting scalable systems, integrating ML models into cloud services, and collaborating with cross-functional teams to drive innovation in Autodesk's product ecosystem. The position requires deep expertise in distributed systems and AI to ensure high-performance, reliable services supporting Autodesk's design and engineering software.
📍 Location: Bengaluru
📅 Posted: Posted 30+ Days Ago
🎯 Key Responsibilities
- Design and implement scalable core services for AI/ML workloads
- Optimize infrastructure for machine learning model training and inference
- Collaborate with product teams to integrate AI capabilities into Autodesk platforms
- Lead code reviews, mentor junior engineers, and drive technical best practices
- Troubleshoot and resolve complex performance issues in production environments
✅ Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 10+ years of experience in software engineering with focus on core services and infrastructure
- Proven experience in AI/ML system design and deployment
- Strong background in cloud computing and distributed systems
⭐ Preferred Qualifications
- PhD in AI, Machine Learning, or related discipline
- Experience with Autodesk products or similar CAD/BIM software
- Contributions to open-source AI/ML projects
- Leadership experience in agile teams
🛠️ Required Skills
- Proficiency in Python, Java, or C++ for backend development
- Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
- Knowledge of distributed computing, microservices, and RESTful APIs
- Strong problem-solving and communication skills
- Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)
🎁 Benefits & Perks
- Competitive salary and performance bonuses
- Comprehensive health and wellness programs
- Flexible work arrangements and remote options
- Professional development opportunities and tuition reimbursement
- Employee stock purchase plan and retirement savings
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
3,500,000 - 5,500,000 INR / 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, Java, or C++ for backend developmentintermediate
- Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)intermediate
- Knowledge of distributed computing, microservices, and RESTful APIsintermediate
- Strong problem-solving and communication skillsintermediate
- Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)intermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
- 10+ years of experience in software engineering with focus on core services and infrastructure (experience)
- Proven experience in AI/ML system design and deployment (experience)
- Strong background in cloud computing and distributed systems (experience)
Preferred Qualifications
- PhD in AI, Machine Learning, or related discipline (experience)
- Experience with Autodesk products or similar CAD/BIM software (experience)
- Contributions to open-source AI/ML projects (experience)
- Leadership experience in agile teams (experience)
Responsibilities
- Design and implement scalable core services for AI/ML workloads
- Optimize infrastructure for machine learning model training and inference
- Collaborate with product teams to integrate AI capabilities into Autodesk platforms
- Lead code reviews, mentor junior engineers, and drive technical best practices
- Troubleshoot and resolve complex performance issues in production environments
Benefits
- general: Competitive salary and performance bonuses
- general: Comprehensive health and wellness programs
- general: Flexible work arrangements and remote options
- general: Professional development opportunities and tuition reimbursement
- general: Employee stock purchase plan and retirement savings
Tags & Categories
Answer 10 quick questions to check your fit for Principal Core Services Engineer(AI/ML Focus) @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs