Software Engineer, Machine Learning

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Written by AI from the job title and company, not by Dice, so some details may not match this job. The employer's own page has the real description.

Job Overview

A Software Engineer specializing in Machine Learning at Dice will be responsible for developing and implementing advanced machine learning algorithms and models to enhance product offerings. This role involves collaborating with cross-functional teams, analyzing large datasets, and translating business objectives into data-driven solutions. The successful candidate will work on critical projects that drive innovation and efficiency across the organization, ensuring the delivery of high-quality software solutions.

Job Responsibilities

• Design, develop, and implement machine learning models and algorithms for enhanced data analysis.
• Collaborate with data scientists and analysts to gather requirements and improve data integrity.
• Analyze large datasets to identify patterns, trends, and insights that align with business objectives.
• Optimize machine learning processes and workflows for better performance and scalability.
• Document the design and implementation processes, as well as write clear, effective code.
• Stay current with state-of-the-art machine learning techniques and technologies.
• Participate in code reviews to maintain high standards of code quality.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; a Master’s degree is preferred.
• Proven experience as a Software Engineer with a focus on machine learning applications.
• Strong programming skills in Python, Java, or similar languages.
• Comprehensive understanding of machine learning frameworks and libraries, such as TensorFlow, Keras, or PyTorch.
• Experience with data processing and visualization tools like Pandas, Matplotlib, and Seaborn.
• Familiarity with cloud platforms (e.g., AWS, Azure) for deploying machine learning models.
• Excellent analytical and problem-solving skills.
• Strong communication skills and ability to work within a team-oriented environment.

Technologies & Tools

This position utilizes a range of technologies and tools, including Python for programming tasks, machine learning frameworks such as TensorFlow and Scikit-learn for model development, and cloud service platforms like AWS or Azure for model deployment and data storage. Additionally, tools for analytics such as SQL databases and data visualization software are employed to support data-driven decision-making.

Ideal Candidates

The ideal candidate for the Software Engineer, Machine Learning position at Dice possesses a strong technical foundation coupled with a proactive approach to problem-solving. They demonstrate a passion for data science and machine learning, exhibiting a commitment to continuous learning and adaptation to new technologies. Excellent interpersonal skills and the ability to work collaboratively in a fast-paced, agile environment are essential attributes for success in this role.