Work from Home - Remote Data Scientist/Software Engineer - AI Model Training

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Job Overview

Outlier is seeking a highly motivated and skilled Remote Data Scientist/Software Engineer specializing in AI Model Training. In this role, you will integrate advanced data analysis techniques and deep learning methodologies to enhance our AI model training processes. You will collaborate with cross-functional teams to design, implement, and optimize machine learning models while ensuring robust data governance and quality assurance. Your contributions will be pivotal in driving innovative solutions that significantly elevate our product offerings and customer satisfaction.

Job Responsibilities

• Develop, implement, and optimize machine learning models for various applications.
• Collaborate with stakeholders to define data requirements and model objectives.
• Conduct exploratory data analysis to extract insights and inform model improvements.
• Monitor model performance and make necessary adjustments to maximize efficiency and accuracy.
• Ensure data quality and integrity through rigorous validation processes.
• Document all methodologies and processes in compliance with organizational standards.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in machine learning, data analysis, and AI model training.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of data structures, algorithms, and statistical methods.
• Excellent problem-solving skills and ability to work independently.

Technologies & Tools

In this position, you will work with a suite of advanced technologies and tools including Python, R, Jupyter Notebooks, TensorFlow, and PyTorch. Familiarity with data visualization tools such as Tableau or Power BI is also advantageous. You will engage with cloud platforms such as AWS or Google Cloud for model deployment and monitoring, alongside utilizing Git for version control. The role requires a strong foundation in SQL for database management and querying, enabling efficient data extraction and manipulation.

Ideal Candidates

The ideal candidates for this position possess a blend of technical proficiency and strong analytical skills. They should be driven by a passion for data and technology, with a demonstrable ability to think critically and creatively. A proactive approach to problem-solving, coupled with excellent communication skills, is essential, as the role involves collaborating with various teams and presenting findings to non-technical stakeholders. A continuous learning mindset and a genuine enthusiasm for advancements in AI and data science are key traits that will contribute to success in this role.