Machine Learning Engineer

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.

Key Responsibilities

• 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.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 2+ years of experience in machine learning engineering or data science roles.
• Strong proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of statistical analysis and data modeling techniques.
• Ability to work with both structured and unstructured data.

Preferred Qualifications

• Experience with cloud computing platforms (AWS, GCP, Azure) for deploying machine learning models.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Strong problem-solving skills and the ability to communicate technical information clearly.

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• A collaborative and innovative work environment.
• The chance to work on cutting-edge projects that drive advancements in artificial intelligence.