MM International, LLC

AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Dallas, TX (Hybrid, 2 days/week) for a 3-month contract. Key skills include Python, SQL, cloud platforms (AWS, Azure, GCP), and automation frameworks. Experience in ML model implementation and relational databases is required.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
October 14, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX 75342
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🧠 - Skills detailed
#Data Analysis #PostgreSQL #SQL (Structured Query Language) #R #Scala #Power Automate #ML (Machine Learning) #Data Quality #S3 (Amazon Simple Storage Service) #API (Application Programming Interface) #Informatica #Azure #Cloud #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Snowflake #BigQuery #Lambda (AWS Lambda) #Scripting #AWS (Amazon Web Services) #Python #Quality Assurance #Automation #MySQL #DMP (Data Management Platform) #Oracle #Databases #Data Management
Role description
Job Title: AI/ML Engineer Location: Dallas, TX (Hybrid 2 days/week) Local Only Duration: 3 Months Contract Video Interview Job Description Need exp in ML models from scratch through implementation and automation Absolutely strong in python scripting Core requirements: Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake) Knowledge of automation frameworks such as Power Automate, Python scripting, or equivalent Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP) including services such as Lambda, S3, Azure Functions, or BigQuery Establishes infrastructure standards and requirements. Evaluates supports Web Application Server system enhancements and performs quality assurance functions Proficient in Python or R for data analysis and model development Good knowledge of data quality & data management platforms ( Informatica is a plus ) Nice to Haves: Experience in design, development, and implementation of scalable API integrations between various internal and external systems.