AI Engineer

Preeminent Technology LLC
Peoria, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 110K

Job location

Peoria, United States of America

Tech stack

Java
Microsoft Windows
API
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
C++
Cloud Computing
Computer Programming
Data Structures
Github
Issue Tracking Systems
Jinja (Template Engine)
Python
Machine Learning
Natural Language Processing
NumPy
Open Source Technology
Powershell
TensorFlow
Simple Object Access Protocol (SOAP)
Software Engineering
SQL Databases
Openapi
Reinforcement Learning
Data Processing
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Data Ingestion
Postman
Microsoft Power Automate
PyTorch
Large Language Models
Model Validation
Zapier
Generative AI
Pandas
Scikit Learn
Information Technology
Google Cloud Functions
Machine Learning Operations
Serverless Computing

Job description

IT360, Inc. is seeking a highly skilled and innovative AI Engineer to join our growing team. This strategic, client-facing role is responsible for designing, developing, and leading deployment of AI-driven solutions and automations that address complex business challenges for both internal operations and external clients. You'll work with a variety of machine learning, automations, and scripting technologies to deliver intelligent, secure, and scalable solutions tailored to client needs., * Design and develop scalable AI/ML models to solve real-world problems across various domains.

  • Collaborate with clients to identify AI opportunities and define solution requirements.

  • Build and maintain end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.

  • Integrate AI solutions into existing systems and platforms, ensuring performance, reliability, and scalability.

  • Monitor and improve the performance of deployed models through continuous evaluation and retraining.

  • Stay current with the latest advancements in AI/ML research and tools, and apply them to enhance solution effectiveness.

  • Document processes, models, and systems to ensure transparency and reproducibility.

  • Design and implement automations to streamline internal workflows and enhance client-facing services.

Additional Duties

  • Collaborate with cross-functional teams to ensure seamless solution delivery.

  • Provide high-quality customer service and maintain strong client relationships.

  • Understand client business needs and align technology solutions accordingly.

  • Accurately track time, tasks, and expenses in the ticketing system.

  • Participate in customer interviews, feedback loops, and solution ideation.

Requirements

Do you have experience in Software engineering?, Do you have a Master's degree?, * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field - or equivalent experience (e.g., GitHub projects, personal portfolio).

  • Strong programming skills in Python (preferred), Java, or C++.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL.

  • Experience with cloud platforms (AWS, Azure, Google Cloud, OpenAI) and MLOps tools.

  • Solid understanding of algorithms, data structures, and software engineering principles.

  • Ability to work independently and collaboratively, with a strong sense of ownership and self-management.

  • Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs).

  • Knowledge of data privacy, model interpretability, and ethical AI practices.

  • Contributions to open-source AI projects or published research are a plus.

Skills & Technologies

  • Scripting & Automation: PowerShell, Python (Jinja), Power Automate, REWST, Zapier

  • APIs: REST (required), SOAP (optional), OpenAPI spec, Postman

  • AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics), reinforcement learning

  • LLM Platforms: OpenAI, Claude, Gemini

  • Microsoft 365 Stack: CoPilot, Power Automate, Function Apps, Email integrations

  • Cloud & Serverless: Azure Function Apps

Benefits & conditions

Pulled from the full job description

  • Passenger ride along program
  • Health insurance
  • Retirement plan
  • Life insurance
  • Cell phone reimbursement
  • Internet reimbursement
  • Paid holidays

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