Full-Time Machine Learning Engineer

We're searching for a skilled Machine Learning Engineer to design, develop, and deploy machine learning models that drive our data-driven solutions. You'll collaborate with data scientists, software engineers, and product managers to bring innovative AI solutions to life.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms.
• Preprocess and analyze large datasets to extract meaningful features.
• Train, test, and validate machine learning models to ensure accuracy and efficiency.
• Deploy machine learning models into production environments and monitor their performance.
• Work closely with data scientists and product managers to understand requirements and translate them into technical solutions.
• Optimize models for performance, scalability, and reliability.
• Conduct code reviews and contribute to a collaborative development environment.
• Troubleshoot and debug complex technical issues related to machine learning models.
• Stay up-to-date on the latest advancements in machine learning and related technologies.

Qualifications:

• 5+ years of experience as a Machine Learning Engineer.
• In-depth knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
• Proficiency in version control systems (Git) and familiarity with CI/CD pipelines.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience with deep learning, natural language processing, or computer vision is a plus.
• Relevant certifications in machine learning or data science are a plus.