Matlen Silver

Big Data/Machine Learning Engineer - Sr

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Big Data/Machine Learning Engineer for a 6-month hybrid contract in Plano, TX, offering competitive pay. Requires 5+ years in big data and machine learning, proficiency in Python/Java/Scala, and experience with AWS/Azure/GCP and big data technologies.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 21, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Plano, TX
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🧠 - Skills detailed
#Deployment #Datasets #Kubernetes #Security #Computer Science #Data Processing #"ETL (Extract #Transform #Load)" #Data Quality #Data Science #Scala #AWS (Amazon Web Services) #Azure #GCP (Google Cloud Platform) #Hadoop #Spark (Apache Spark) #Data Pipeline #Agile #Data Engineering #Programming #Big Data #Python #TensorFlow #Java #PyTorch #ML (Machine Learning) #Model Deployment #Docker #Cloud #Kafka (Apache Kafka)
Role description
Job Title: Senior Big Data / Machine Learning Engineer Location: Plano, TX (Hybrid) Duration: 6-Month Contract (with potential extension) Overview: We are seeking an experienced Senior Big Data / Machine Learning Engineer to join our team in Plano, TX. This hybrid role is ideal for a highly skilled professional with a strong background in data engineering and machine learning, capable of designing and implementing scalable data solutions. You will play a key role in building and optimizing data pipelines, developing machine learning models, and supporting data-driven decision-making across the organization. Key Responsibilities: β€’ Design, build, and maintain scalable big data pipelines and architectures β€’ Develop, deploy, and optimize machine learning models in production environments β€’ Collaborate with cross-functional teams including data scientists, analysts, and software engineers β€’ Process and analyze large, complex datasets to extract actionable insights β€’ Ensure data quality, integrity, and security across systems β€’ Optimize performance and scalability of data processing systems β€’ Stay current with emerging technologies and best practices in big data and ML Required Qualifications: β€’ Bachelor’s or Master’s degree in Computer Science, Engineering, or related field β€’ 5+ years of experience in big data engineering and/or machine learning β€’ Strong programming skills in Python, Java, or Scala β€’ Experience with big data technologies (e.g., Hadoop, Spark, Kafka) β€’ Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) β€’ Experience with cloud platforms such as AWS, Azure, or GCP β€’ Solid understanding of data structures, algorithms, and distributed systems Preferred Qualifications: β€’ Experience with MLOps and model deployment pipelines β€’ Familiarity with containerization tools (Docker, Kubernetes) β€’ Experience working in Agile environments β€’ Strong problem-solving and communication skillsΒ