

AI ML Engineer - AI Designer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI ML Engineer with a 6+ month remote contract, offering expertise in NLU/NLP and conversational AI design. Key skills include Python, TensorFlow, and containerization tools. A Bachelor’s in a relevant field is required; AI/ML certifications preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 16, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Cloud #Model Evaluation #Pandas #TensorFlow #Kubernetes #Data Science #Azure #Computer Science #Deep Learning #NLP (Natural Language Processing) #AWS (Amazon Web Services) #Mathematics #Regression #FastAPI #NumPy #ML (Machine Learning) #PyTorch #Spark (Apache Spark) #Python #Deployment #AWS SageMaker #API (Application Programming Interface) #Clustering #SageMaker #PySpark #NLU (Natural Language Understanding) #Data Engineering #Libraries #Docker #Keras #AI (Artificial Intelligence) #Model Deployment #Programming #SQL (Structured Query Language) #Flask
Role description
Hi,
Please check the below Job description and Let me know if you are interested with your Updated Resume.
Title: AI ML Engineer
Location: Remote
Duration: 6+ Months Contract.
Interview Mode : Phone+ Video
We are seeking a highly skilled AI/ML Engineer to join an innovative engineering team. The ideal candidate will have strong expertise in NLU/NLP and experience designing conversational AI solutions. This role will involve collaboration with voice platform engineers and working on projects that integrate AI with voice and communication systems.
Key Responsibilities:
• Design, develop, and maintain ML models for real-world applications.
• Apply deep learning and NLP techniques to solve complex problems.
• Collaborate with cross-functional teams including data engineers and product stakeholders.
• Implement APIs for serving analytical and NLP models using frameworks like Flask or FastAPI.
• Utilize Docker, Kubernetes, and CI/CD pipelines to manage ML workflows.
• Participate in proof-of-concept projects and guide technology evaluations.
Required Skills & Qualifications:
• 5+ years in AI/ML system design and implementation.
• Strong Python programming skills with TensorFlow, PyTorch, Keras, or MXNet.
• Experience with LLMs, RAG, or other NLP architectures.
• Familiarity with model deployment and modern API frameworks.
• Hands-on experience with containerization and orchestration tools.
• Strong understanding of ML principles including clustering, regression, and model evaluation.
Preferred Skills:
• Experience with front-end/web technologies.
• Knowledge of cloud ML services (AWS SageMaker, Azure AI, Bedrock).
• Background in enterprise-scale ML systems.
• Proficiency in SQL and Python libraries (NumPy, Pandas, Scikit-learn, PySpark).
• AI/ML certifications are a plus.
Education:
• Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field required.
• Advanced degrees or AI/ML certifications preferred.
Hi,
Please check the below Job description and Let me know if you are interested with your Updated Resume.
Title: AI ML Engineer
Location: Remote
Duration: 6+ Months Contract.
Interview Mode : Phone+ Video
We are seeking a highly skilled AI/ML Engineer to join an innovative engineering team. The ideal candidate will have strong expertise in NLU/NLP and experience designing conversational AI solutions. This role will involve collaboration with voice platform engineers and working on projects that integrate AI with voice and communication systems.
Key Responsibilities:
• Design, develop, and maintain ML models for real-world applications.
• Apply deep learning and NLP techniques to solve complex problems.
• Collaborate with cross-functional teams including data engineers and product stakeholders.
• Implement APIs for serving analytical and NLP models using frameworks like Flask or FastAPI.
• Utilize Docker, Kubernetes, and CI/CD pipelines to manage ML workflows.
• Participate in proof-of-concept projects and guide technology evaluations.
Required Skills & Qualifications:
• 5+ years in AI/ML system design and implementation.
• Strong Python programming skills with TensorFlow, PyTorch, Keras, or MXNet.
• Experience with LLMs, RAG, or other NLP architectures.
• Familiarity with model deployment and modern API frameworks.
• Hands-on experience with containerization and orchestration tools.
• Strong understanding of ML principles including clustering, regression, and model evaluation.
Preferred Skills:
• Experience with front-end/web technologies.
• Knowledge of cloud ML services (AWS SageMaker, Azure AI, Bedrock).
• Background in enterprise-scale ML systems.
• Proficiency in SQL and Python libraries (NumPy, Pandas, Scikit-learn, PySpark).
• AI/ML certifications are a plus.
Education:
• Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field required.
• Advanced degrees or AI/ML certifications preferred.