ML Engineer
IBM
ML Engineer
Job Description
ML Engineer
📋 Job Overview
Join IBM's AI/ML Center of Excellence as an ML Engineer specializing in Large Language Models (LLMs). Collaborate with product teams to implement AI capabilities across IBM's Automation products, lead data collection for LLM training, and integrate LLM technologies into new and existing products.
📍 Location: Krakow, PL (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Collaborate with cross-functional product teams to implement AI capabilities
- Lead data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation
✅ Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs)
🛠️ Required Skills
- AI/ML engineering
- Large Language Models (LLMs)
- Data collection and management
- Integration of technologies
- Establishing best practices
- Collaboration
- Leadership
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
Locations
- Krakow, PL, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML engineeringintermediate
- Large Language Models (LLMs)intermediate
- Data collection and managementintermediate
- Integration of technologiesintermediate
- Establishing best practicesintermediate
- Collaborationintermediate
- Leadershipintermediate
Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs) (experience)
Responsibilities
- Collaborate with cross-functional product teams to implement AI capabilities
- Lead data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
Tags & Categories
Answer 10 quick questions to check your fit for ML Engineer @ IBM.
Related Books and Jobs
ML Engineer
IBM
ML Engineer
Job Description
ML Engineer
📋 Job Overview
Join IBM's AI/ML Center of Excellence as an ML Engineer specializing in Large Language Models (LLMs). Collaborate with product teams to implement AI capabilities across IBM's Automation products, lead data collection for LLM training, and integrate LLM technologies into new and existing products.
📍 Location: Krakow, PL (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Collaborate with cross-functional product teams to implement AI capabilities
- Lead data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation
✅ Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs)
🛠️ Required Skills
- AI/ML engineering
- Large Language Models (LLMs)
- Data collection and management
- Integration of technologies
- Establishing best practices
- Collaboration
- Leadership
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
Locations
- Krakow, PL, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML engineeringintermediate
- Large Language Models (LLMs)intermediate
- Data collection and managementintermediate
- Integration of technologiesintermediate
- Establishing best practicesintermediate
- Collaborationintermediate
- Leadershipintermediate
Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs) (experience)
Responsibilities
- Collaborate with cross-functional product teams to implement AI capabilities
- Lead data collection for LLM training and evaluation
- Integrate LLM technologies into existing and new products
- Establish best practices for AI/ML feature implementation
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
Tags & Categories
Answer 10 quick questions to check your fit for ML Engineer @ IBM.
Related Books and Jobs