Data scientist/Machine learning engineer

ImpetusIT; Phoenix (AZ); On-site; USD 65,000 - 70,000; Full time

Job summary

ImpetusIT in Phoenix, AZ seeks a Data Scientist/AI Engineer to advance NLP solutions and AI models. You will work on text generation, summarization, and semantic search, leveraging transformer architectures and prompt engineering to enhance outputs.

The role requires hands-on experience with LLMs (GPT, Llama, PaLM or similar) and a strong ML/DL background, with Python, TensorFlow, PyTorch, and Hugging Face libraries. Cloud deployment and optimization are expected.

Qualifications

• Experience developing NLP solutions and AI models.
• Experience with transformer architectures and model deployment.

Responsibilities

• Develop NLP solutions for text generation, summarization, and semantic search.
• Optimize transformer-based architectures for performance and scalability.
• Deploy, monitor, and optimize AI models in cloud environments.

Skills

NLP for text generation

Transformer models

Prompt engineering

Gen AI

Cloud deployment

ML/DL fundamentals

LLMs (GPT, Llama, PaLM)

Python

TensorFlow

PyTorch

Hugging Face

Model optimization

Tools

Snowflake

PySpark

Databricks

Job description

One of our staffing partners is helping a tech company hire a Data Scientist/ AI engineer

Salary offered $65-70k per year

Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.

• Develop advanced NLP solutions for text generation, summarization, and semantic search
• Optimize transformer-based architectures for performance and scalability
• Leverage prompt engineering and model customization to enhance AI outputs
• Worked on Gen AI extensively
• Worked with snowflake, Pyspark, Databricks
• Deploy, monitor, and optimize AI models in cloud environments
• Strong background in Machine Learning, Deep Learning, Agentic AI, LLM, and NLP
• Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
• Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries
• Experience with AI model deployment and optimization techniques