Machine Learning Engineer II
Atlassian
Machine Learning Engineer II
Job Description
Machine Learning Engineer II
📋 Job Overview
The Machine Learning Engineer II at Atlassian will focus on improving agent productivity using AI within Jira Service Management. This role involves building and scaling machine learning models to automate various stages of ticket resolution, from categorization to closure, using NLP and generative AI technologies.
📍 Location: Remote, India (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-12-10 05:53 AM
🎯 Key Responsibilities
- Build and scale machine learning models to automate ticket resolution stages
- Use NLP and generative AI to support agents in quicker resolution of requests
- Communicate data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Adopt an agile development mindset for constant iteration and improvement
✅ Required Qualifications
- 5+ years of related industry experience in the ML domain
- Expertise in Python or Java with the ability to write performant production-quality code
- Familiarity with SQL
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
- Experience building and scaling machine learning models in business applications using large amounts of data
- Ability to communicate and explain data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Agile development mindset
⭐ Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Experience in developing deep learning-based models and working on LLM-related applications
- Excelling in solving ambiguous and complex problems
🛠️ Required Skills
- Python
- Java
- SQL
- Spark
- AWS
- Databricks
- Machine Learning
- NLP
- Generative AI
- Communication
- Agile development
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits to support you and your family
Locations
- Remote, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- SQLintermediate
- Sparkintermediate
- AWSintermediate
- Databricksintermediate
- Machine Learningintermediate
- NLPintermediate
- Generative AIintermediate
- Communicationintermediate
- Agile developmentintermediate
Required Qualifications
- 5+ years of related industry experience in the ML domain (experience)
- Expertise in Python or Java with the ability to write performant production-quality code (experience)
- Familiarity with SQL (experience)
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks) (experience)
- Experience building and scaling machine learning models in business applications using large amounts of data (experience)
- Ability to communicate and explain data science concepts to diverse audiences (experience)
- Focus on business practicality and the 80/20 rule (experience)
- Agile development mindset (experience)
Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space (experience)
- Experience in developing deep learning-based models and working on LLM-related applications (experience)
- Excelling in solving ambiguous and complex problems (experience)
Responsibilities
- Build and scale machine learning models to automate ticket resolution stages
- Use NLP and generative AI to support agents in quicker resolution of requests
- Communicate data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Adopt an agile development mindset for constant iteration and improvement
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits to support you and your family
Tags & Categories
Machine Learning Engineer II
Atlassian
Machine Learning Engineer II
Job Description
Machine Learning Engineer II
📋 Job Overview
The Machine Learning Engineer II at Atlassian will focus on improving agent productivity using AI within Jira Service Management. This role involves building and scaling machine learning models to automate various stages of ticket resolution, from categorization to closure, using NLP and generative AI technologies.
📍 Location: Remote, India (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-12-10 05:53 AM
🎯 Key Responsibilities
- Build and scale machine learning models to automate ticket resolution stages
- Use NLP and generative AI to support agents in quicker resolution of requests
- Communicate data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Adopt an agile development mindset for constant iteration and improvement
✅ Required Qualifications
- 5+ years of related industry experience in the ML domain
- Expertise in Python or Java with the ability to write performant production-quality code
- Familiarity with SQL
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
- Experience building and scaling machine learning models in business applications using large amounts of data
- Ability to communicate and explain data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Agile development mindset
⭐ Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Experience in developing deep learning-based models and working on LLM-related applications
- Excelling in solving ambiguous and complex problems
🛠️ Required Skills
- Python
- Java
- SQL
- Spark
- AWS
- Databricks
- Machine Learning
- NLP
- Generative AI
- Communication
- Agile development
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits to support you and your family
Locations
- Remote, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- SQLintermediate
- Sparkintermediate
- AWSintermediate
- Databricksintermediate
- Machine Learningintermediate
- NLPintermediate
- Generative AIintermediate
- Communicationintermediate
- Agile developmentintermediate
Required Qualifications
- 5+ years of related industry experience in the ML domain (experience)
- Expertise in Python or Java with the ability to write performant production-quality code (experience)
- Familiarity with SQL (experience)
- Knowledge of Spark and cloud data environments (e.g., AWS, Databricks) (experience)
- Experience building and scaling machine learning models in business applications using large amounts of data (experience)
- Ability to communicate and explain data science concepts to diverse audiences (experience)
- Focus on business practicality and the 80/20 rule (experience)
- Agile development mindset (experience)
Preferred Qualifications
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space (experience)
- Experience in developing deep learning-based models and working on LLM-related applications (experience)
- Excelling in solving ambiguous and complex problems (experience)
Responsibilities
- Build and scale machine learning models to automate ticket resolution stages
- Use NLP and generative AI to support agents in quicker resolution of requests
- Communicate data science concepts to diverse audiences
- Focus on business practicality and the 80/20 rule
- Adopt an agile development mindset for constant iteration and improvement
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits to support you and your family
Tags & Categories