

Smart IT Frame LLC
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal AI/ML Engineer in Seattle, WA, on a contract basis. Key skills required include Python, TensorFlow/PyTorch, LLM fine-tuning, and MLOps. Strong leadership and experience in Generative AI are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 27, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Airflow #Scala #Deployment #Monitoring #Compliance #Leadership #Strategy #Databases #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Azure #Data Engineering #AWS SageMaker #MLflow #SageMaker #ML Ops (Machine Learning Operations) #AWS (Amazon Web Services) #Kubernetes #Python #PyTorch #TensorFlow #Transformers #Docker #ML (Machine Learning) #Security
Role description
We are hiring!
Greetings!
My name is Kathiresan, and I'm with Smart IT Frame LLC.
Please find the job description below. If you're interested, I would appreciate it if you could share your updated resume with me.
Role: Principal AI/ML Engineer
Location: Seattle, WA
Type: Contract
Job Description:
We are seeking a seasoned Principal AI/ML Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions. This role requires a visionary leader who can define technical strategy, mentor teams, and drive innovation in Generative AI, LLMs, and
advanced machine learning techniques.
Key Responsibilities
• Architect AI/ML Solutions: Define and implement scalable AI/ML architecture,frameworks, and standards.
• End-to-End Model Lifecycle: Oversee data preparation, model training, deployment, and performance monitoring.
• MLOps Excellence: Build robust ML Ops pipelines and reusable components for production-grade systems.
• Leadership & Mentorship: Guide senior engineers and cross-functional teams to deliver impactful AI solutions.
• Innovation in Generative AI: Drive adoption of LLMs, Retrieval-Augmented Generation (RAG), and advanced ML methodologies.
• Governance & Compliance: Ensure adherence to AI governance, fairness, security, and ethical principles.
• Strategic Alignment: Collaborate with business and product leaders to align AI initiatives with organizational goals.
Technical Expertise:
• Strong proficiency in Python, TensorFlow/PyTorch, Scikit-learn, and Transformers.
• Hands-on experience with LLM fine-tuning, RAG, and vector databases (FAISS,Pinecone).
• Proficient in MLflow, Airflow, Docker, Kubernetes.
• Experience with AWS SageMaker, GCP Vertex AI, or Azure ML.:
• Deep understanding of data engineering, model governance, and AI ethics.
• Excellent communication, stakeholder management, and ability to influence at all levels.
We are hiring!
Greetings!
My name is Kathiresan, and I'm with Smart IT Frame LLC.
Please find the job description below. If you're interested, I would appreciate it if you could share your updated resume with me.
Role: Principal AI/ML Engineer
Location: Seattle, WA
Type: Contract
Job Description:
We are seeking a seasoned Principal AI/ML Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions. This role requires a visionary leader who can define technical strategy, mentor teams, and drive innovation in Generative AI, LLMs, and
advanced machine learning techniques.
Key Responsibilities
• Architect AI/ML Solutions: Define and implement scalable AI/ML architecture,frameworks, and standards.
• End-to-End Model Lifecycle: Oversee data preparation, model training, deployment, and performance monitoring.
• MLOps Excellence: Build robust ML Ops pipelines and reusable components for production-grade systems.
• Leadership & Mentorship: Guide senior engineers and cross-functional teams to deliver impactful AI solutions.
• Innovation in Generative AI: Drive adoption of LLMs, Retrieval-Augmented Generation (RAG), and advanced ML methodologies.
• Governance & Compliance: Ensure adherence to AI governance, fairness, security, and ethical principles.
• Strategic Alignment: Collaborate with business and product leaders to align AI initiatives with organizational goals.
Technical Expertise:
• Strong proficiency in Python, TensorFlow/PyTorch, Scikit-learn, and Transformers.
• Hands-on experience with LLM fine-tuning, RAG, and vector databases (FAISS,Pinecone).
• Proficient in MLflow, Airflow, Docker, Kubernetes.
• Experience with AWS SageMaker, GCP Vertex AI, or Azure ML.:
• Deep understanding of data engineering, model governance, and AI ethics.
• Excellent communication, stakeholder management, and ability to influence at all levels.






