AI & ML Systems Engineer (LLM/Deployment)

Infosys; Irving (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Job summary

Infosys DNA is seeking a Data Science Consultant 2 in Irving, TX to drive data‑driven insights and develop scalable analytics solutions. You will work on data preparation, modeling, and deployment, leveraging ML frameworks, Python, and LLM tools.

Strong emphasis on governance, collaboration with stakeholders, and producing production‑ready analytics is required. The role involves building predictive models, maintaining model quality, and contributing to thought leadership within a dynamic

Qualifications

• Hands-on experience with at least one major ML framework (PyTorch, TensorFlow, Keras).
• Familiarity with LLMs, prompt engineering, and fine‑tuning (LoRA, QLoRA).
• Exposure to RAG systems and hybrid search techniques.
• Understanding of model deployment and containerization (Docker).
• Proficiency in Python for AI development and data preprocessing.

Responsibilities

• Develop data preparation tasks and identify patterns or anomalies.
• Build, evaluate, and deploy models; standardize code and share knowledge.
• Design predictive models and data‑driven analyses to address business challenges.
• Leverage SAS and R/Python to create reusable analytics solutions.
• Ensure governance, compliance, and documentation across projects.

Skills

Python

ML Frameworks

LLMs & Prompting

Docker

Git

LangChain/HuggingFace

Model Deployment

RAG Systems

Education

Bachelor's degree or foreign equivalent

Tools

SageMaker

BigQuery

Hadoop

Docker

Git

Job description

Infosys DNA is seeking a Data Science Consultant 2 in Irving, TX to drive data‑driven insights and develop scalable analytics solutions. You will work on data preparation, modeling, and deployment, leveraging ML frameworks, Python, and LLM tools.

Strong emphasis on governance, collaboration with stakeholders, and producing production‑ready analytics is required. The role involves building predictive models, maintaining model quality, and contributing to thought leadership within a dynamic