Machine Learning Engineer - €350 A Day - Remote

Principal AI / ML Specialist at Norton BlakeMachine Learning Engineer, 3 months, Fully Remote (Have to be in Europe), €350/dayKey Responsibilities:Model Development:Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain.Data Pipeline Engineering:Develop and maintain data pipelines for collecting, processing, and analyzing large datasets, ensuring data quality and consistency.Model Deployment:Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain.Collaboration:Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions.Performance Monitoring:Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability.Research & Innovation:Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes.Documentation:Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration.Qualifications:Education:Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.Experience:3-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role.Experience in the retail industry or e-commerce is highly desirable.Technical Skills:Strong problem-solving abilities, solid background in algorithms and data structures.Strong proficiency in Python.Ability to work with machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib).Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop.Proficiency in SQL and experience with relational databases.System level architecture understanding including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline.Familiarity with cloud platforms (e.G., Azure) and containerization technologies (e.G., Docker, Kubernetes).Experience with version control systems (e.G., Git) and collaborative development tools (e.G., JIRA, Confluence).Seniority level:Mid-Senior levelEmployment type:ContractJob function:Information Technology and EngineeringIndustries:IT Services and IT Consulting and Retail Luxury Goods and Jewelry#J-*****-Ljbffr

accuracy, efficiency, and scalability.Research & Innovation:Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes.Documentation:Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration.Qualifications:Education:Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.Experience:3-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role.Experience in the retail industry or e-commerce is highly desirable.Technical Skills:Strong problem-solving abilities, solid background in algorithms and data structures.Strong proficiency in Python.Ability to work with machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib). Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop.Proficiency in SQL and experience with relational databases.System level architecture understanding including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline.Familiarity with cloud platforms (e.G., Azure) and containerization technologies (e.G., Docker, Kubernetes). Experience with version control systems (e.G., Git) and collaborative development tools (e.G., JIRA, Confluence). Seniority level:Mid-Senior levelEmployment type:ContractJob function:Information Technology and EngineeringIndustries:IT Services and IT Consulting and Retail Luxury Goods and Jewelry#J-*****-Ljbffr