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
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💰 - Day rate
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🗓️ - 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.