Garni Software, Inc
AI Foundry and Microsoft Fabric
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Foundry and Microsoft Fabric Specialist, offering a remote contract for $40.00 - $60.00 per hour. Key skills include Python, Azure, TensorFlow, big data technologies, and natural language processing expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
December 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
-
🧠 - Skills detailed
#Bash #Python #Database Schema #Talend #Spark (Apache Spark) #Data Science #SQL (Structured Query Language) #Java #Data Processing #SAS #Scala #Visualization #Looker #Programming #R #HDFS (Hadoop Distributed File System) #Compliance #Azure #Data Architecture #Model Validation #Database Design #Data Security #Deployment #Hadoop #"ETL (Extract #Transform #Load)" #TensorFlow #Datasets #Unix #Big Data #Data Mining #Security #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Cloud #VBA (Visual Basic for Applications) #AWS (Amazon Web Services) #ML (Machine Learning) #Model Deployment
Role description
OverviewWe are seeking a highly skilled AI Foundry and Microsoft Fabric Specialist to join our innovative team. This role involves developing, deploying, and managing advanced AI models and data solutions leveraging cutting-edge technologies such as Microsoft Fabric, Azure, and various machine learning frameworks. The ideal candidate will possess a strong background in big data analytics, machine learning, natural language processing, and cloud-based AI infrastructure. This position offers an exciting opportunity to work on transformative projects that shape the future of intelligent systems and data-driven decision-making.
Responsibilities
Design, develop, and optimize AI models using frameworks like TensorFlow, R, SAS, and other machine learning tools.
Implement model training pipelines and oversee model deployment within Microsoft Fabric environments.
Manage large-scale data processing tasks utilizing ETL tools such as Talend, Hadoop, Spark, and Bash (Unix shell).
Develop robust database schemas and design scalable data architectures for big data applications.
Conduct data mining and analytics to extract actionable insights from complex datasets including linked data sources.
Collaborate with cross-functional teams to integrate AI solutions into enterprise systems using languages like Python, Java, C, VBA, and SQL.
Apply natural language processing techniques for language understanding projects.
Utilize cloud platforms such as AWS for deploying scalable AI services.
Ensure compliance with best practices in data security, model validation, and performance tuning.
Stay current with emerging trends in quantum engineering, machine learning frameworks, and analytics to continuously improve solutions.
Requirements
Proven experience with cloud services such as AWS and Azure; familiarity with Microsoft Fabric is highly desirable.
Strong programming skills in Python, Java, C, VBA, Bash (Unix shell), and SQL.
Extensive knowledge of machine learning frameworks including TensorFlow, Spark MLlib, SAS, and related tools.
Hands-on experience with big data technologies like Hadoop, Spark, Hadoop Ecosystem (HDFS), and ETL processes.
Expertise in database design and management of large datasets; experience with linked data is a plus.
Proficiency in natural language processing (NLP) techniques and model training/deployment workflows.
Background in data mining, analytics, model validation, and model deployment strategies.
Familiarity with analytics tools such as Looker for visualization purposes.
Knowledge of quantum engineering principles is advantageous but not mandatory.
Strong problem-solving skills with the ability to work independently or collaboratively on complex projects. This role provides an excellent platform for professionals passionate about advancing artificial intelligence through innovative technology solutions in a dynamic environment committed to excellence in data science and engineering.
Pay: $40.00 - $60.00 per hour
Work Location: Remote
OverviewWe are seeking a highly skilled AI Foundry and Microsoft Fabric Specialist to join our innovative team. This role involves developing, deploying, and managing advanced AI models and data solutions leveraging cutting-edge technologies such as Microsoft Fabric, Azure, and various machine learning frameworks. The ideal candidate will possess a strong background in big data analytics, machine learning, natural language processing, and cloud-based AI infrastructure. This position offers an exciting opportunity to work on transformative projects that shape the future of intelligent systems and data-driven decision-making.
Responsibilities
Design, develop, and optimize AI models using frameworks like TensorFlow, R, SAS, and other machine learning tools.
Implement model training pipelines and oversee model deployment within Microsoft Fabric environments.
Manage large-scale data processing tasks utilizing ETL tools such as Talend, Hadoop, Spark, and Bash (Unix shell).
Develop robust database schemas and design scalable data architectures for big data applications.
Conduct data mining and analytics to extract actionable insights from complex datasets including linked data sources.
Collaborate with cross-functional teams to integrate AI solutions into enterprise systems using languages like Python, Java, C, VBA, and SQL.
Apply natural language processing techniques for language understanding projects.
Utilize cloud platforms such as AWS for deploying scalable AI services.
Ensure compliance with best practices in data security, model validation, and performance tuning.
Stay current with emerging trends in quantum engineering, machine learning frameworks, and analytics to continuously improve solutions.
Requirements
Proven experience with cloud services such as AWS and Azure; familiarity with Microsoft Fabric is highly desirable.
Strong programming skills in Python, Java, C, VBA, Bash (Unix shell), and SQL.
Extensive knowledge of machine learning frameworks including TensorFlow, Spark MLlib, SAS, and related tools.
Hands-on experience with big data technologies like Hadoop, Spark, Hadoop Ecosystem (HDFS), and ETL processes.
Expertise in database design and management of large datasets; experience with linked data is a plus.
Proficiency in natural language processing (NLP) techniques and model training/deployment workflows.
Background in data mining, analytics, model validation, and model deployment strategies.
Familiarity with analytics tools such as Looker for visualization purposes.
Knowledge of quantum engineering principles is advantageous but not mandatory.
Strong problem-solving skills with the ability to work independently or collaboratively on complex projects. This role provides an excellent platform for professionals passionate about advancing artificial intelligence through innovative technology solutions in a dynamic environment committed to excellence in data science and engineering.
Pay: $40.00 - $60.00 per hour
Work Location: Remote
