Data Scientist — LLMs & NLP, Azure, Hybrid

Glint Tech Solutions LLC; Plano (TX); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Glint Tech Solutions LLC is looking for a Data Scientist in Plano, TX. The role, which offers a hybrid work model, involves designing and deploying ML/AI solutions utilizing strong expertise in LLMs, NLP, and classical algorithms.

The ideal candidate should have 5-8 years of experience along with hands-on Python, Spark, and Databricks skills, complemented by experience in Azure Cloud for scalable AI pipelines.

Qualifications

• 5-8 years of experience in Data Science/ML/AI Engineering.
• Strong expertise in LLMs, NLP, and classical ML algorithms.
• Hands-on skills in Python, PySpark, Databricks, SQL/NoSQL.
• Experience with Azure Cloud for training and deployment.

Responsibilities

• Design, train, validate & deploy ML/AI models.
• Build scalable pipelines with PySpark/Spark & Databricks.
• Perform LLM fine-tuning and prompt engineering.
• Collaborate with teams to deliver AI solutions.

Skills

Data Science

ML Engineering

Python

PySpark

Databricks

Azure Cloud

SQL

NoSQL

NLP

LLMs

Job description

Glint Tech Solutions is hiring a Data Scientist in Plano, TX (Hybrid, 3 days/week). The role involves designing, developing, and deploying advanced ML/AI solutions with strong expertise in LLMs, NLP, and classical data science algorithms. Candidates should have 5–8 years of experience, hands‑on Python/Spark/Databricks skills, and exposure to Azure cloud for scalable AI pipelines.

Key Responsibilities:
– Design, train, validate & deploy ML/AI models (LLMs, NLP, classical algorithms)
– Build scalable pipelines with PySpark/Spark & Databricks
– Perform LLM fine‑tuning, prompt engineering & evaluation
– Work with SQL/NoSQL datasets (PostgreSQL, MongoDB)
– Collaborate with engineering & business teams to deliver AI solutions
– Implement model governance, monitoring & lifecycle management

Required Skills:
– 5–8 years in Data Science/ML/AI Engineering
– Strong expertise in LLMs, NLP & classical ML algorithms
– Hands‑on Python, PySpark, Databricks, SQL/NoSQL
– Azure Cloud experience for training & deployment
– Knowledge of fine‑tuning & optimization techniques
– Strong analytical, problem‑solving & communication skills