AI/ML ENGINEER

Largeton Group; Dallas (TX); Hybrid; USD 115,000 - 130,000; Full time

Job summary

A leading company in information services is seeking an AI/ML Engineer for its Dallas office. This hybrid role focuses on designing and implementing scalable MLOps data pipelines and requires expertise in Python and machine learning frameworks. Ideal candidates will have experience with tools like TensorFlow and containerization technologies. This position offers competitive compensation and growth opportunities in a cutting-edge technological environment.

Qualifications

• Proficient in deploying machine learning models using MLOps tools.
• Experience with large-scale machine learning frameworks.
• Familiarity with cloud environments, preferably GCP.

Responsibilities

• Design and implement scalable MLOps data pipelines.
• Support end-to-end machine learning workflows.
• Build AI/ML products using LLMs and neural networks.

Skills

Python

MLOps

TensorFlow

Docker

Kubernetes

Flask

FastAPI

Gen AI

Distributed Systems

Tools

Vertex Pipelines

Kubeflow

Spark ML

Job description

3 days ago Be among the first 25 applicants

Title: AI/ML ENGINEER

SCOTTSDALE, AZ OR DALLAS, TX HYBRID (3 DAYS/WEEK ONSITE

MOI: 2 video Interview

• Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
• Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms.
• Experience implementing and supporting end-to-end Machine Learning workflows and patterns.
• Expert level programming skills in Python and experience with Data Science and ML packages and frameworks.
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
• Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
• Experience and knowledge in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
• Experience building AI/ML products using technologies such as LLMs, neural networks and others.
• Experience in building AI/ML Apps using Flask or FastAPI.
• Experience with RAG and Supervised Tuning techniques.
• Strong distributed systems skills and knowledge.
• Development experience of at least one public cloud provider, preferably GCP.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Information Services

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