Machine Learning Engineer
Posted 2 weeks ago by Synechron
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: Synechron is looking for a Machine Learning Developer skilled in Spark ML and predictive modeling to design and optimize machine learning solutions for large-scale data processing. The role involves developing models, implementing training and inference pipelines, and collaborating with data engineers. The ideal candidate will also evaluate model performance and stay updated with advancements in machine learning technologies.
Key Responsibilities:
- Develop and implement machine learning models using Spark ML for predictive analytics.
- Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop).
- Process and analyze large-scale datasets to extract meaningful insights and features.
- Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines.
- Evaluate model performance and fine-tune hyperparameters to improve accuracy and efficiency.
- Implement scalable solutions for real-time and batch inference.
- Monitor and troubleshoot deployed models to ensure reliability and performance.
- Stay updated with advancements in machine learning frameworks and distributed computing technologies.
Key Skills:
- Proficiency in Apache Spark and Spark MLlib for machine learning tasks.
- Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering).
- Experience with distributed systems like Hadoop for data storage and processing.
- Proficiency in Python, Scala, or Java for ML development.
- Familiarity with data preprocessing techniques and feature engineering.
- Knowledge of model evaluation metrics and techniques.
- Experience with deploying ML models in production environments.
- Understanding of distributed computing concepts and parallel processing.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Synechron are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics.
Responsibilities
- Develop and implement machine learning models using Spark ML for predictive analytics.
- Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop).
- Process and analyze large-scale datasets to extract meaningful insights and features.
- Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines.
- Evaluate model performance and fine-tune hyperparameters to improve accuracy and efficiency.
- Implement scalable solutions for real-time and batch inference.
- Monitor and troubleshoot deployed models to ensure reliability and performance.
- Stay updated with advancements in machine learning frameworks and distributed computing technologies.
Requirements:
- Proficiency in Apache Spark and Spark MLlib for machine learning tasks.
- Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering).
- Experience with distributed systems like Hadoop for data storage and processing.
- Proficiency in Python, Scala, or Java for ML development.
- Familiarity with data preprocessing techniques and feature engineering.
- Knowledge of model evaluation metrics and techniques.
- Experience with deploying ML models in production environments.
- Understanding of distributed computing concepts and parallel processing.