TPI Global Solutions

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Austin, TX, on a W2 contract for 10 months. Requires 5+ years in ML engineering, Python, Azure, and Databricks. Key skills include data pipelines, statistical modeling, and anomaly detection.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#Data Processing #Scala #Datasets #Data Mining #Python #Azure cloud #Automation #Databricks #SQL (Structured Query Language) #Code Reviews #Data Pipeline #AI (Artificial Intelligence) #Cloud #NLP (Natural Language Processing) #PyTorch #Anomaly Detection #Data Manipulation #TensorFlow #Keras #Deployment #ML (Machine Learning) #Azure
Role description
𝗦𝗲𝗻𝗶𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗔𝘂𝘀𝘁𝗶𝗻, 𝗧𝗫 𝗪𝟮 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁 (𝗡𝗼 𝗖𝟮𝗖 / 𝟭𝟬𝟵𝟵) 𝗢𝗻-𝘀𝗶𝘁𝗲 We are seeking a Senior Machine Learning Engineer with strong expertise in Python and production-grade ML systems. This role requires hands-on experience building, deploying, and optimizing scalable machine learning solutions in a cloud environment. The ideal candidate has deep experience working with large-scale datasets, designing ML pipelines, and maintaining models in production environments. Key Responsibilities: • Design and implement machine learning models for predictive analytics and operational intelligence • Build and maintain scalable data pipelines using Databricks • Deploy and optimize ML models in Azure cloud environments • Perform statistical analysis and model fine-tuning • Work with structured and unstructured datasets • Implement anomaly detection and NLP-based solutions • Participate in code reviews and enforce engineering best practices • Maintain model performance post-deployment Required Qualifications: • 5+ years of hands-on experience in Machine Learning engineering • 5+ years of strong Python development experience • Experience building production ML systems • Strong background in data mining and statistical modeling • Experience with Azure cloud platform • Experience working with Databricks for data processing and ML workloads • Proficiency in SQL and data manipulation • Experience working with TensorFlow, PyTorch, or Keras • Experience with anomaly detection techniques • Exposure to NLP and AI-driven automation is a plus This role requires strong analytical skills, production mindset, and the ability to work both independently and collaboratively in a fast-paced environment.