A skilled Mid-Level Data Scientist in Brazil with experience in deep learning, predictive modeling, and data engineering. Proficient in AWS, PyTorch, and big data processing tools.
Speciality: ETL
Mid-Level Data Scientist
An innovative Data Scientist in Canada with experience in machine learning, feature engineering, and cloud computing. Skilled in AWS, Spark, and deploying AI models to enhance business operations.
Mid-Level Data Scientist
A results-driven Data Scientist in the USA with strong experience in predictive modeling, NLP, and cloud computing. Proficient in TensorFlow, PyTorch, and database management, with a passion for AI-driven solutions.
Senior Data Scientist
A highly skilled Senior Data Scientist in the USA specializing in MLOps, deep learning, and scalable AI solutions. Proven leadership experience in developing high-impact machine learning models and business intelligence strategies.
Junior Data Engineer
Based in Malaysia, this Junior Data Engineer has a strong foundation in Python and SQL, with experience in building efficient data pipelines. They have worked with AWS to implement cloud-based data solutions and have utilized Docker for deploying containerized applications. Git is essential to their version control and project collaboration efforts.
Mid-Level Data Scientist
An experienced Data Scientist in the UK skilled in machine learning, predictive modeling, and big data analytics. Proficient in Spark, Hadoop, and cloud platforms such as AWS and Azure. Adept at translating business problems into AI-driven solutions.
Senior Data Scientist
A strategic Senior Data Scientist in the UK with expertise in deep learning, AI, and advanced analytics. Experienced in leading teams, deploying scalable ML models, and optimizing big data workflows for business impact.
Senior Data Engineer
With expertise in cloud platforms and data warehousing, this senior data engineer in Croatia optimizes high-performance data workflows for enterprise clients.
Junior Data Engineer
This Junior Data Engineer, based in Macedonia, has hands-on experience working with Python and SQL to create data pipelines. They are familiar with AWS for deploying ETL processes and have worked with Docker for containerization. Git ensures that their code is well-managed and version-controlled for team projects.