Focuz Mindz Inc.
Icrosoft Certified: Azure AI Engineer Associate, Google Machine Learning Engineer, SAFe Agile Software Enginee
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with 13+ years of experience, requiring Microsoft Certified: Azure AI Engineer Associate, Google Machine Learning Engineer, SAFe Agile Software Engineer certifications, and expertise in AI/ML model development. Contract duration is 12 months, with a hybrid location in Washington, D.C.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#API (Application Programming Interface) #R #Docker #RDBMS (Relational Database Management System) #NoSQL #Deep Learning #TensorFlow #ML (Machine Learning) #PyTorch #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Agile #Data Science #REST API #REST (Representational State Transfer) #Azure #Computer Science #Databases #Cloud #GCP (Google Cloud Platform) #Python #Deployment #NLP (Natural Language Processing) #MLflow
Role description
"W2": AI Engineer(13+yrs) US Citizens are welcome to apply
• "NO H1B Please" Microsoft Certified: Azure AI Engineer Associate, Google Machine Learning Engineer, SAFe Agile Software Engineer (ASE), Certification in AI Ethics
2-4 DAYS ON SITE
Location: Washington District of Columbia (Hybrid)
Duration: 12 Months
Experience
- Minimum 8 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.Technical Skills
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.
Soft Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Strategic thinking and innovation mindset.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
Share Profiles to sashi.r@focuzmindz.com or Call 281- 533- 3504
"W2": AI Engineer(13+yrs) US Citizens are welcome to apply
• "NO H1B Please" Microsoft Certified: Azure AI Engineer Associate, Google Machine Learning Engineer, SAFe Agile Software Engineer (ASE), Certification in AI Ethics
2-4 DAYS ON SITE
Location: Washington District of Columbia (Hybrid)
Duration: 12 Months
Experience
- Minimum 8 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.Technical Skills
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.
Soft Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Strategic thinking and innovation mindset.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
Share Profiles to sashi.r@focuzmindz.com or Call 281- 533- 3504
