Vista Applied Solutions Group Inc
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with a contract length of "X months," offering a pay rate of "$X/hour." Key skills include Azure AI, Python, TensorFlow, and MLOps tools. Requires 4+ years in AI/ML and preferred certifications in Azure or Google ML.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Washington DC-Baltimore Area
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🧠 - Skills detailed
#RDBMS (Relational Database Management System) #Scala #NLP (Natural Language Processing) #REST API #PyTorch #Cloud #Azure #AWS (Amazon Web Services) #Deep Learning #Deployment #Agile #Databases #Python #TensorFlow #MLflow #AI (Artificial Intelligence) #NoSQL #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #API (Application Programming Interface) #ML (Machine Learning) #REST (Representational State Transfer) #Docker
Role description
Job Summary for AI Engineer:
The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision-making, and support strategic initiatives for the environmental and social specialists within the client. This role is central to the VPU’s digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.
Job Responsibilities for AI Engineer:
• Skilled in – Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
• Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
• Expertise deep learning, computer vision, and large language models.
• Familiarity with REST APIs, NoSQL, and RDBMS.
Job Qualifications for AI Engineer:
• Minimum 4+ years of experience in AI/ML model development and deployment.
• Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP).
• Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions.
Certifications (Preferred):
• Microsoft Certified: Azure AI Engineer Associate
• Google Machine Learning Engineer
• SAFe Agile Software Engineer (ASE)
• Certification in AI Ethics
Job Summary for AI Engineer:
The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision-making, and support strategic initiatives for the environmental and social specialists within the client. This role is central to the VPU’s digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.
Job Responsibilities for AI Engineer:
• Skilled in – Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
• Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
• Expertise deep learning, computer vision, and large language models.
• Familiarity with REST APIs, NoSQL, and RDBMS.
Job Qualifications for AI Engineer:
• Minimum 4+ years of experience in AI/ML model development and deployment.
• Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP).
• Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions.
Certifications (Preferred):
• Microsoft Certified: Azure AI Engineer Associate
• Google Machine Learning Engineer
• SAFe Agile Software Engineer (ASE)
• Certification in AI Ethics
