

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.
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.






