AI Software Engineer

Accurate Systems Engineering; Gilbert (AZ); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

401(k)

401(k) matching

dental

health

life

vision insurance

paid time off

Job summary

Accurate Systems Engineering in Gilbert, AZ, seeks a skilled AI/ML engineer to design, develop, and deploy models for automation and robotics, including machine vision and 3D mapping. You will collaborate with cross-functional teams to integrate AI into existing systems, ensuring scalable deployments, while tuning models and building robust data architectures with SQL, Hadoop, Spark, and Talend.

This role requires US citizenship and offers a competitive salary range of $80,000 to $110,000 plus

Qualifications

• Proven experience building ML models using TensorFlow or similar frameworks.
• Strong programming ability in Python, Java, C, Bash, VBA, or R for analytics.
• Hands-on experience with AWS to deploy and manage scalable AI solutions.
• Familiarity with Hadoop, Spark, and related tools for large-scale processing.
• Solid knowledge of SQL databases; exposure to NoSQL is a plus.
• Understanding of NLP methods for conversational agents or language understanding systems.
• Experience in data mining, analytics, and supervised/unsupervised learning.
• US citizenship is required.
• Knowledge of quantum engineering concepts related to emerging AI research is advantageous.

Responsibilities

• Design, develop, and deploy ML models for automation and robotics use cases such as machine vision, 3D mapping, and vision-guided robotics.
• Collaborate with cross-functional teams to embed AI capabilities into existing systems and ensure smooth, scalable implementation.
• Refine models through hyperparameter tuning, training, and validation to improve accuracy and performance.
• Create resilient database structures and scalable data architectures using SQL, Hadoop, Spark, and Talend for big data workflows.
• Apply natural language processing techniques to build intelligent language understanding applications and improve user experiences.
• Monitor deployed AI models, assess performance metrics, and drive continuous improvement using analytics tools such as Looker.

Skills

Machine learning

TensorFlow

Python

Java

C

Bash

VBA

R

AWS

Hadoop

Spark

SQL

NoSQL

NLP

Data mining

US citizenship

Quantum concepts

Tools

Talend

Looker

Job description

Requirements

Must have:

• We need proven experience building machine learning models using TensorFlow or comparable frameworks.
• We require strong programming ability in Python, Java, C, Bash, VBA, or R for analytics and model development.
• We look for hands‑on experience with cloud platforms such as AWS to deploy and manage scalable AI solutions.
• We need familiarity with big data ecosystems, including Hadoop, Spark, and related tools for large-scale processing.
• We require solid knowledge of database design principles and experience with SQL databases; exposure to NoSQL or linked data is a plus.
• We expect understanding of natural language processing methods for conversational agents or language understanding systems.
• We look for experience in data mining, analytics, and both supervised and unsupervised learning approaches.
• We require US citizenship.
• Knowledge of quantum engineering concepts related to emerging AI research is advantageous, though not essential.

Responsibilities:

• We design, develop, and deploy machine learning models for automation and robotics use cases such as machine vision, 3D mapping, and vision-guided robotics.
• We collaborate with cross‑functional teams to embed AI capabilities into existing systems and ensure smooth, scalable implementation.
• We refine models through hyperparameter tuning, training, and validation to improve accuracy and performance.
• We create resilient database structures and scalable data architectures using SQL, Hadoop, Spark, and Talend for big data workflows.
• We apply natural language processing techniques to build intelligent language understanding applications and improve user experiences.
• We monitor deployed AI models, assess performance metrics, and drive continuous improvement using analytics tools such as Looker.

Company:

We are a cutting-edge technology team focused on building advanced AI-driven solutions that turn complex data into practical insights across a range of platforms. This is an exciting in-person opportunity for an energetic problem-solver who wants to help shape the future of technology through impactful artificial intelligence projects. We offer a competitive annual salary of $80,000 to $110,000

• 401(k)
• 401(k) matching
• dental
• health
• life
• vision insurance
• paid time off