Data Scientist - Artificial Intelligence
IBMRomania17 days ago
Full-timeEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Introduction
Data Scientist & Generative AI Practitioner with expertise in statistical modeling, machine learning, and advanced analytics. Skilled in leveraging large-scale datasets and state-of-the-art AI techniques, including transformer-based architectures and large language models (LLMs), to solve complex business problems. Experienced in fine-tuning and deploying generative AI solutions for tasks such as text summarization, content generation, and intelligent automation.
Your Role And Responsibilities
As a professional in this role, you will be responsible for analyzing and modeling fuel blending processes using machine learning and optimization techniques. Your key responsibilities will include developing non-linear algorithms to recommend optimal blend compositions, selecting and training AI and machine learning models, and designing simulation tools to evaluate blending strategies under different scenarios.
Required Technical And Professional Expertise
Data Scientist & Generative AI Practitioner with expertise in statistical modeling, machine learning, and advanced analytics. Skilled in leveraging large-scale datasets and state-of-the-art AI techniques, including transformer-based architectures and large language models (LLMs), to solve complex business problems. Experienced in fine-tuning and deploying generative AI solutions for tasks such as text summarization, content generation, and intelligent automation.
Your Role And Responsibilities
As a professional in this role, you will be responsible for analyzing and modeling fuel blending processes using machine learning and optimization techniques. Your key responsibilities will include developing non-linear algorithms to recommend optimal blend compositions, selecting and training AI and machine learning models, and designing simulation tools to evaluate blending strategies under different scenarios.
Required Technical And Professional Expertise
- Experience with machine learning and optimization techniques
- Ability to develop non-linear algorithms for optimization problems
- Knowledge of AI and machine learning models for predictive and prescriptive analytics
- Familiarity with simulation tools and scenario analysis
- Strong analytical and problem-solving skills
- Experience with fuel blending processes and industry-specific constraints
- Knowledge of programming languages and software relevant to machine learning and simulation
- Familiarity with data analysis and visualization tools
- Ability to work with cross-functional teams and communicate complex technical concepts
- Experience with cloud-based platforms and big data analytics
Key Skills
Ranked by relevanceReady to apply?
Join IBM and take your career to the next level!
Application takes less than 5 minutes