Dallas-Based Senior NLP Analyst | AI/ML Expert

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 83,000 - 152,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Sr. NLP Analyst in Dallas, TX to design, implement, and optimize AI/ML models focused on conversational AI and NLP. You will work with cross‑functional teams to define requirements and deliver scalable solutions.

The role emphasizes hands‑on model development, data analysis, and mentoring junior engineers. A strong background in ML algorithms, NLP frameworks, and cloud platforms is essential for success.

Qualifications

• Bachelor's or Master's degree in CS/DS/AI or related field.
• Strong knowledge of AI/ML algorithms and evaluation metrics.
• Experience with NLP techniques and tooling.

Responsibilities

• Design, develop, and deploy AI/ML algorithms and models to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Conduct data analysis and preprocessing to ensure high-quality input for AI/ML models.
• Evaluate and optimize existing algorithms for performance and scalability.
• Stay updated with the latest advancements in AI/ML technologies and methodologies.
• Document processes, methodologies, and results to ensure knowledge sharing within the team.
• Participate in code reviews and provide constructive feedback to peers.
• Assist in the training and mentoring of junior team members in AI/ML concepts and practices.

Skills

Conversational AI

NLP

LLMs

Generative AI

Prompt engineering

Data analysis

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Python

R

Java

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Sr. NLP Analyst in Dallas, TX to design, implement, and optimize AI/ML models focused on conversational AI and NLP. You will work with cross‑functional teams to define requirements and deliver scalable solutions.

The role emphasizes hands‑on model development, data analysis, and mentoring junior engineers. A strong background in ML algorithms, NLP frameworks, and cloud platforms is essential for success.