Big Data/Machine Learning Engineer - Sr
Matlen Silver
Plano, United States of America
6 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Plano, United States of America
Tech stack
Java
Agile Methodologies
Amazon Web Services (AWS)
Azure
Big Data
Computer Programming
Data Structures
Distributed Systems
Hadoop
Python
Machine Learning
TensorFlow
Data Processing
PyTorch
Spark
Containerization
Scikit Learn
Kubernetes
Information Technology
Kafka
Machine Learning Operations
Data Pipelines
Docker
Job description
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., * Design, build, and maintain scalable big data pipelines and architectures
- Develop, deploy, and optimize machine learning models in production environments
- Collaborate with cross-functional teams including data scientists, analysts, and software engineers
- Process and analyze large, complex datasets to extract actionable insights
- Ensure data quality, integrity, and security across systems
- Optimize performance and scalability of data processing systems
- Stay current with emerging technologies and best practices in big data and ML
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of experience in big data engineering and/or machine learning
- Strong programming skills in Python, Java, or Scala
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience with cloud platforms such as AWS, Azure, or GCP
- Solid understanding of data structures, algorithms, and distributed systems, * Experience with MLOps and model deployment pipelines
- Familiarity with containerization tools (Docker, Kubernetes)
- Experience working in Agile environments
- Strong problem-solving and communication skills