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.