Senior AI Engineer
IBM
Senior AI Engineer
Job Description
Senior AI Engineer
📋 Job Overview
The Senior AI Engineer at IBM will specialize in Large Language Models (LLMs) within the AI/ML Center of Excellence. The role involves leading data collection for LLM training, integrating LLMs into IBM's product portfolio, and establishing best practices for AI/ML feature implementation. Collaboration with cross-functional teams is key to driving AI innovation across IBM's Automation products.
📍 Location: Krakow, PL (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement data collection pipelines for LLM training datasets
- Develop data quality assessment frameworks
- Create annotation guidelines and workflows for domain-specific datasets
- Implement data governance protocols
- Establish evaluation datasets and benchmarks for LLM performance
- Architect solutions to integrate LLMs with IBM's products and ecosystem
- Develop APIs and interfaces for LLM interaction
- Optimize LLM deployment across various computing environments
- Implement model compression and optimization techniques
- Design prompt engineering frameworks for consistent LLM behavior
- Establish technical standards and best practices for AI/ML feature implementation
- Create reusable components and design patterns for LLM use cases
- Develop monitoring systems for model performance, drift, and biases
- Research and implement techniques for responsible AI
- Collaborate with product teams to identify AI-driven innovation opportunities
✅ Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs)
- Proven track record in data collection and management for LLM training and evaluation
- Expertise in integrating LLM technologies into existing and new products
- Knowledge of data governance and compliance with privacy regulations and ethical AI principles
⭐ Preferred Qualifications
- Experience with IBM AI Model & Data Catalog
- Familiarity with FM-Eval and Unitxt for LLM performance evaluation
- Knowledge of model compression, quantization, and optimization techniques
🛠️ Required Skills
- Large Language Models (LLMs)
- Data collection and management
- Data quality assessment
- Annotation guidelines and workflows
- Data governance
- Privacy regulations
- Ethical AI principles
- IBM AI Model & Data Catalog
- FM-Eval
- Unitxt
- API development
- Interface design
- Model compression
- Quantization
- Optimization
- Prompt engineering
- Technical standards
- Best practices
- Reusable components
- Design patterns
- Monitoring systems
- Responsible AI
- Explainability
- Fairness
- Collaboration
- Innovation
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Commitment to diversity and inclusion
- Equal-opportunity employment
Locations
- Krakow, PL, India (Remote)
Salary
Estimated Salary Rangemedium confidence
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
- Large Language Models (LLMs)intermediate
- Data collection and managementintermediate
- Data quality assessmentintermediate
- Annotation guidelines and workflowsintermediate
- Data governanceintermediate
- Privacy regulationsintermediate
- Ethical AI principlesintermediate
- IBM AI Model & Data Catalogintermediate
- FM-Evalintermediate
- Unitxtintermediate
- API developmentintermediate
- Interface designintermediate
- Model compressionintermediate
- Quantizationintermediate
- Optimizationintermediate
- Prompt engineeringintermediate
- Technical standardsintermediate
- Best practicesintermediate
- Reusable componentsintermediate
- Design patternsintermediate
- Monitoring systemsintermediate
- Responsible AIintermediate
- Explainabilityintermediate
- Fairnessintermediate
- Collaborationintermediate
- Innovationintermediate
Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs) (experience)
- Proven track record in data collection and management for LLM training and evaluation (experience)
- Expertise in integrating LLM technologies into existing and new products (experience)
- Knowledge of data governance and compliance with privacy regulations and ethical AI principles (experience)
Preferred Qualifications
- Experience with IBM AI Model & Data Catalog (experience)
- Familiarity with FM-Eval and Unitxt for LLM performance evaluation (experience)
- Knowledge of model compression, quantization, and optimization techniques (experience)
Responsibilities
- Design and implement data collection pipelines for LLM training datasets
- Develop data quality assessment frameworks
- Create annotation guidelines and workflows for domain-specific datasets
- Implement data governance protocols
- Establish evaluation datasets and benchmarks for LLM performance
- Architect solutions to integrate LLMs with IBM's products and ecosystem
- Develop APIs and interfaces for LLM interaction
- Optimize LLM deployment across various computing environments
- Implement model compression and optimization techniques
- Design prompt engineering frameworks for consistent LLM behavior
- Establish technical standards and best practices for AI/ML feature implementation
- Create reusable components and design patterns for LLM use cases
- Develop monitoring systems for model performance, drift, and biases
- Research and implement techniques for responsible AI
- Collaborate with product teams to identify AI-driven innovation opportunities
Benefits
- general: Opportunities for learning and career development
- 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
- general: Commitment to diversity and inclusion
- general: Equal-opportunity employment
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Senior AI Engineer
IBM
Senior AI Engineer
Job Description
Senior AI Engineer
📋 Job Overview
The Senior AI Engineer at IBM will specialize in Large Language Models (LLMs) within the AI/ML Center of Excellence. The role involves leading data collection for LLM training, integrating LLMs into IBM's product portfolio, and establishing best practices for AI/ML feature implementation. Collaboration with cross-functional teams is key to driving AI innovation across IBM's Automation products.
📍 Location: Krakow, PL (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement data collection pipelines for LLM training datasets
- Develop data quality assessment frameworks
- Create annotation guidelines and workflows for domain-specific datasets
- Implement data governance protocols
- Establish evaluation datasets and benchmarks for LLM performance
- Architect solutions to integrate LLMs with IBM's products and ecosystem
- Develop APIs and interfaces for LLM interaction
- Optimize LLM deployment across various computing environments
- Implement model compression and optimization techniques
- Design prompt engineering frameworks for consistent LLM behavior
- Establish technical standards and best practices for AI/ML feature implementation
- Create reusable components and design patterns for LLM use cases
- Develop monitoring systems for model performance, drift, and biases
- Research and implement techniques for responsible AI
- Collaborate with product teams to identify AI-driven innovation opportunities
✅ Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs)
- Proven track record in data collection and management for LLM training and evaluation
- Expertise in integrating LLM technologies into existing and new products
- Knowledge of data governance and compliance with privacy regulations and ethical AI principles
⭐ Preferred Qualifications
- Experience with IBM AI Model & Data Catalog
- Familiarity with FM-Eval and Unitxt for LLM performance evaluation
- Knowledge of model compression, quantization, and optimization techniques
🛠️ Required Skills
- Large Language Models (LLMs)
- Data collection and management
- Data quality assessment
- Annotation guidelines and workflows
- Data governance
- Privacy regulations
- Ethical AI principles
- IBM AI Model & Data Catalog
- FM-Eval
- Unitxt
- API development
- Interface design
- Model compression
- Quantization
- Optimization
- Prompt engineering
- Technical standards
- Best practices
- Reusable components
- Design patterns
- Monitoring systems
- Responsible AI
- Explainability
- Fairness
- Collaboration
- Innovation
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Commitment to diversity and inclusion
- Equal-opportunity employment
Locations
- Krakow, PL, India (Remote)
Salary
Estimated Salary Rangemedium confidence
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
- Large Language Models (LLMs)intermediate
- Data collection and managementintermediate
- Data quality assessmentintermediate
- Annotation guidelines and workflowsintermediate
- Data governanceintermediate
- Privacy regulationsintermediate
- Ethical AI principlesintermediate
- IBM AI Model & Data Catalogintermediate
- FM-Evalintermediate
- Unitxtintermediate
- API developmentintermediate
- Interface designintermediate
- Model compressionintermediate
- Quantizationintermediate
- Optimizationintermediate
- Prompt engineeringintermediate
- Technical standardsintermediate
- Best practicesintermediate
- Reusable componentsintermediate
- Design patternsintermediate
- Monitoring systemsintermediate
- Responsible AIintermediate
- Explainabilityintermediate
- Fairnessintermediate
- Collaborationintermediate
- Innovationintermediate
Required Qualifications
- Experience in AI/ML engineering, specializing in Large Language Models (LLMs) (experience)
- Proven track record in data collection and management for LLM training and evaluation (experience)
- Expertise in integrating LLM technologies into existing and new products (experience)
- Knowledge of data governance and compliance with privacy regulations and ethical AI principles (experience)
Preferred Qualifications
- Experience with IBM AI Model & Data Catalog (experience)
- Familiarity with FM-Eval and Unitxt for LLM performance evaluation (experience)
- Knowledge of model compression, quantization, and optimization techniques (experience)
Responsibilities
- Design and implement data collection pipelines for LLM training datasets
- Develop data quality assessment frameworks
- Create annotation guidelines and workflows for domain-specific datasets
- Implement data governance protocols
- Establish evaluation datasets and benchmarks for LLM performance
- Architect solutions to integrate LLMs with IBM's products and ecosystem
- Develop APIs and interfaces for LLM interaction
- Optimize LLM deployment across various computing environments
- Implement model compression and optimization techniques
- Design prompt engineering frameworks for consistent LLM behavior
- Establish technical standards and best practices for AI/ML feature implementation
- Create reusable components and design patterns for LLM use cases
- Develop monitoring systems for model performance, drift, and biases
- Research and implement techniques for responsible AI
- Collaborate with product teams to identify AI-driven innovation opportunities
Benefits
- general: Opportunities for learning and career development
- 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
- general: Commitment to diversity and inclusion
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Senior AI Engineer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs