AI Model Creator

AI Research Scientist | Machine Learning Scientist | Applied Scientist

About the Role

We are seeking an innovative and highly technical AI Model Creator to develop, train, fine-tune, and optimize advanced artificial intelligence and machine learning models.

In this role, you will focus on AI research, algorithm development, and data science experimentation. You will work closely with AI researchers and data scientists to improve model accuracy, performance, reliability, and efficiency. Your work may include neural networks, large language model architectures, reinforcement learning, natural language processing, and the development of new machine learning algorithms.

This is an ideal opportunity for someone who enjoys solving complex technical problems, experimenting with emerging AI technologies, and translating advanced research into high-performing models. Success in this role will be measured by meaningful improvements in model performance.

Role Responsibilities and Duties

• Design, develop, train, fine-tune, and optimize artificial intelligence and machine learning models.
• Conduct research and experimentation involving neural networks, deep learning, large language models, reinforcement learning, and natural language processing.
• Fine-tune foundation models for specialized business and technical use cases.
• Develop and evaluate new machine learning algorithms and modeling approaches.
• Create repeatable model-training and evaluation methodologies.
• Improve model accuracy, prediction quality, reliability, and overall performance.
• Identify and implement strategies to reduce hallucinations and improve the quality of generative AI outputs.
• Optimize model latency and computational efficiency.
• Conduct data science experiments and analyze results to guide model improvements.
• Apply advanced mathematics, statistics, and research methods to complex modeling challenges.
• Partner with AI researchers and data scientists throughout the research, development, testing, and optimization lifecycle.
• Document model architectures, experimental methods, evaluation results, and technical findings.
• Develop AI models that may support use cases such as network troubleshooting, fiber-outage prediction, customer-churn analysis, fraud detection, and network-congestion forecasting.

Role Requirements

Required Qualifications

• Demonstrated knowledge of machine learning, deep learning, and statistical modeling.
• Hands-on experience developing, training, fine-tuning, or optimizing AI and machine learning models.
• Proficiency with AI and deep-learning frameworks such as PyTorch or TensorFlow .
• Experience with neural networks and modern machine learning architectures.
• Knowledge of natural language processing and large language model concepts.
• Experience with model training, validation, evaluation, and performance optimization.
• Strong foundation in statistics, applied mathematics, data science experimentation, and research methods.
• Strong programming and coding capabilities appropriate for research-intensive AI model development.
• Ability to evaluate modeling results, diagnose performance issues, and recommend technically sound improvements.
• Ability to collaborate effectively with AI researchers, data scientists, and other technical stakeholders.

Preferred Qualifications

• Experience fine-tuning foundation models or large language models.
• Experience with reinforcement learning.
• Experience developing or improving generative AI models.
• Knowledge of methods for reducing model hallucinations and improving output reliability.
• Experience optimizing models for latency, efficiency, or production-scale performance.
• Experience designing new machine learning algorithms or conducting advanced AI research.
• Experience applying AI to telecommunications, network operations, fraud detection, customer analytics, forecasting, or other large-scale business use cases.

What Success Looks Like

The successful candidate will deliver measurable improvements in model performance, including stronger prediction accuracy, increased reliability, reduced hallucinations, improved latency, and better alignment between model outputs and their intended use cases.

Potential Backgrounds

Candidates may currently hold titles such as:

• AI Research Scientist
• Machine Learning Scientist
• Applied Scientist
• LLM Research Engineer
• Generative AI Scientist

Why This Role

This role offers the opportunity to work at the forefront of artificial intelligence, combining advanced research, hands-on model development, and practical problem-solving. You will help create and improve AI models capable of addressing complex, high-impact challenges at scale.