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Sr Artificial Intelligence/Machine Learning Engineer

Dia Software SolutionsAustin, TX🇺🇸United StatesPosted Oct 6, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Austin, TX, United States
Posted
21 hours ago
DockerAWSMachine LearningAirflowAzureGoogle CloudPythonREST

Job Description

Hi,

Greetings from DIA SOFTWARE SOLUTIONS LLC!

We reaching out about an exciting Direct client opportunity with one of our clients. Please review the requirements and let me know if you are interested in this position?

Direct client Req:: Need Sr Artificial Intelligence/Machine Learning Engineer , Onsite, TX

PLEASE SEND THE RESUMES TO SKUMAR AT DIASOFTWARESOLUTIONS DOT COM !

Job Description:

Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
Contribute to the development of AI/ML models and prototype applications for prioritized use cases
Help design and document data and AI pipelines that integrate with existing systems
Create reports, analyses, and presentations that communicate findings and outcomes clearly
Collaborate with data, engineering, software development, and governance teams
An AI Apprentice will also provide direct support for Planning & Administration team in the following areas:
Assisting TPOs in identifying and assessing AI opportunities across supported divisions.
Creating proofs of concept (POCs) and pilots for AI and automation use cases.
Researching, maintaining documentation, analyzing findings, and preparing reports for AI initiatives.
Supporting AI governance activities, developing risk assessments, and maintaining compliance documentation.
Assessing vendor AI capabilities and emerging AI technologies.
Maintaining and supporting AI applications developed for the divisions.
Contributing to AI modernization initiatives in divisions such as AVN, MRD, RTI, RRD, and other business areas exploring automation opportunities.
Serving as Administrators for enterprise applications.
Minimum Yrs of Experience, Skills, and Qualifications
Minimum Years of Experience, Skills, and Qualifications
Typically, 1-3 years of academic, internship, or entry-level experience in AI, data science, software engineering, or a related field
Possesses foundational knowledge of common concepts, tools, and practices
Works under guidance using established processes and standards
Does not typically exercise independent production decision making
Minimum Qualifications, Skills, and Experience
Education / Learning Background
Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline
Demonstrated interest in artificial intelligence, machine learning, and applied analytics
Technical Skills (Foundational / Developing)
Proficiency in Python
Familiarity with object-oriented programming concepts
Experience with version control
Exposure to data analysis, data migration, and basic model development
Understanding of basic software development and testing concepts
Preferred (Exposure or Academic Experience is Acceptable)
Data pipelines (e.g., Airflow, Prefect, or cloud-native equivalents)
Model deployment concepts (e.g., REST APIs, serverless patterns)
Cloud platforms or AI services (AWS, Azure, Google Cloud Platform, OCI)
Containerization concepts (Docker)
CI/CD fundamentals
Monitoring or model versioning concepts
Preferred Skills and Qualifications
Preferred Skills and Qualifications
Preferred (Exposure or Academic Experience is Acceptable)
Familiarity with one or more of the following (hands-on or academic):
Data pipelines (e.g., Airflow, Prefect, or cloud-native equivalents)
Model deployment concepts (e.g., REST APIs, serverless patterns)
Cloud platforms or AI services (AWS, Azure, Google Cloud Platform, OCI)
Containerization concepts (Docker)
CI/CD fundamentals
Monitoring or model versioning concepts
Key Attributes for Success
Strong analytical and problem-solving skills
Ability to communicate technical concepts clearly to non-technical audiences
Willingness to learn and adapt in a fast-evolving technical environment
Attention to detail and commitment to data quality
Collaborative mindset and openness to mentorship and feedback

DIA SOFTWARE SOLUTIONS LLC.

sireesha| DIA SOFTWARE SOLUTIONS LLC.

Direct: Five One Two Two Nine Eight Zero Eight Five Eight

DIA SOFTWARE SOLUTIONS is an Affirmative Action/Equal Opportunity Employer that supports workplace diversity. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All Dia soft staff must be able to demonstrate the legal right to work in the United States. DIA SOFTWARE SOLUTIONS is an E-Verify employer

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