ML Engineer

This role is for one of the Weekday's clients

Overview

The Machine Learning (ML) Engineer is a vital role within our organization that bridges the gap between the world of data science and software engineering. This position focuses on designing, implementing, and maintaining robust machine learning models that leverage data to solve complex business challenges. ML Engineers play a critical role in developing algorithms that allow computers to learn from and make predictions based on data, leading to informed decision-making across various departments. This role requires a deep understanding of both theoretical frameworks and practical applications of machine learning, as well as strong programming abilities. The ML Engineer collaborates closely with data scientists, software developers, and various stakeholders to ensure that data-driven insights are accurately translated into scalable solutions that meet organizational goals. As businesses increasingly depend on AI-driven technologies, the ML Engineer's contributions will be pivotal in enhancing business operations, optimizing workflows, and gaining a competitive edge in the market.

Key Responsibilities

• Design and develop machine learning systems and algorithms.
• Collaborate with data scientists to pre-process and clean data for model training.
• Implement, train, and evaluate complex models using diverse data sets.
• Optimize and fine-tune existing models for performance and accuracy.
• Deploy machine learning models into production environments.
• Monitor, maintain, and update deployed models to ensure continued performance.
• Work with stakeholders to define problem statements and data requirements.
• Create and maintain documentation for model structures and development processes.
• Conduct experiments to evaluate new algorithms and approaches.
• Collaborate with software engineers to integrate models into applications.
• Utilize big data technologies to handle large datasets effectively.
• Stay updated with the latest trends in machine learning and AI technologies.
• Help in defining best practices and standards for ML project development.
• Participate in code reviews and share knowledge with team members.
• Assist in troubleshooting issues related to model performance and data integrity.
  
  

Required Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field.
• Proven experience as a Machine Learning Engineer or similar role.
• Strong understanding of machine learning algorithms and principles.
• Proficiency in programming languages: Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
• Familiarity with big data tools, such as Hadoop or Spark.
• Experience in data preprocessing, feature engineering, and data visualization.
• Solid understanding of statistics and probability concepts.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models.
• Understanding of database management systems and SQL.
• Excellent problem-solving and analytical skills.
• Strong communication skills and ability to work in a team environment.
• Experience with version control systems such as Git.
• Knowledge of data privacy and ethics in machine learning.
• Willingness to learn and adapt to new technologies and approaches.
  
  

Skills: data visualization,model optimization,gcp,data preprocessing,neural networks,statistics,java,pytorch,probability,ethics in machine learning,azure,data privacy,sql,hadoop,python,machine learning,r,spark,version control (git),keras,feature engineering,data analysis,tensorflow,aws