Remote Machine Learning Engineer

Description:

• Join our innovative team at Ziphire.hr as a Machine Learning Engineer.
• In this role, you will play a crucial part in developing and implementing machine learning models that drive our products and empower our data-driven strategies.
• You will work collaboratively with data scientists and software developers to transform data into actionable insights that enhance user experiences and optimize performance.
• Build and refine machine learning models tailored to specific business needs and goals.
• Analyze large, complex datasets to extract meaningful trends and patterns.
• Implement efficient data preprocessing techniques to prepare data for training and evaluation.
• Optimize existing machine learning algorithms for performance improvements.
• Utilize version control for code management and ensure best practices in software development.
• Work closely with cross-functional teams to integrate machine learning solutions into business applications.
• Stay abreast of the latest research and trends in machine learning and AI to continually enhance our capabilities.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field is required.
• 2+ years of experience in machine learning engineering or data science roles is required.
• Strong proficiency in programming languages such as Python, R, or Java is required.
• Experience with machine learning frameworks such as TensorFlow or PyTorch is required.
• Solid understanding of statistical analysis and data modeling techniques is required.
• Ability to work with both structured and unstructured data is required.
• Experience with cloud computing platforms (AWS, GCP, Azure) for deploying machine learning models is preferred.
• Knowledge of big data technologies (e.g., Hadoop, Spark) is preferred.
• Strong problem-solving skills and the ability to communicate technical information clearly is preferred.

Benefits:

• We offer a competitive salary and benefits package.
• There are opportunities for professional development and career advancement.
• You will experience a collaborative and innovative work environment.
• You will have the chance to work on cutting-edge projects that drive advancements in artificial intelligence.