AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Redmond, WA, with a long-term contract. Requires 10+ years of experience in model development, deployment, and collaboration across teams. Key skills include A/B testing, deep learning, NLP, and causal inference techniques.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Redmond, WA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Time Series #Transformers #A/B Testing #Regression #Forecasting #Scala #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Classification #Propensity Scoring #ML (Machine Learning) #Deep Learning #Deployment #Data Science
Role description
Job Title – AI/ML Engineer
Location – Redmond, WA (Onsite)
Duration – Long term
Job description:
Look for AI/ML Senior candidate – 10+ Years
• Model Development & Deployment
• Lead the end-to-end design, training, and deployment of machine learning, deep learning, and generative Al models (e.g., LLMs, transformers, embeddings) to address core business problems.
• Build scalable solutions for time series forecasting. classification, regression, recommendation systems, and NLP applications.
• Ensure models are explainable, reproducible, and compliant with governance standards (e.g., model cards, fairness audits).
• Business Collaboration
• Partner with cross-functional teams (product, engineering, marketing, operations) to identify and scope high-impact opportunities where data science and Al can drive measurable business outcomes.
• Translate strategic objectives into actionable analytical initiatives with clearly defined success metrics and timelines.
• Experimentation & Causal Inference
• Design and analyze A/B tests, quasi-experiments, and longitudinal studies to assess the impact of product changes and campaigns.
• Implement causal inference techniques such as propensity scoring, double machine learning. difference-in-differences, and uplift modelling to estimate treatment effects and incremental gains
Job Title – AI/ML Engineer
Location – Redmond, WA (Onsite)
Duration – Long term
Job description:
Look for AI/ML Senior candidate – 10+ Years
• Model Development & Deployment
• Lead the end-to-end design, training, and deployment of machine learning, deep learning, and generative Al models (e.g., LLMs, transformers, embeddings) to address core business problems.
• Build scalable solutions for time series forecasting. classification, regression, recommendation systems, and NLP applications.
• Ensure models are explainable, reproducible, and compliant with governance standards (e.g., model cards, fairness audits).
• Business Collaboration
• Partner with cross-functional teams (product, engineering, marketing, operations) to identify and scope high-impact opportunities where data science and Al can drive measurable business outcomes.
• Translate strategic objectives into actionable analytical initiatives with clearly defined success metrics and timelines.
• Experimentation & Causal Inference
• Design and analyze A/B tests, quasi-experiments, and longitudinal studies to assess the impact of product changes and campaigns.
• Implement causal inference techniques such as propensity scoring, double machine learning. difference-in-differences, and uplift modelling to estimate treatment effects and incremental gains
