Remote Data Scientist/Software Engineer - AI Model Training

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

Job Overview

The Remote Data Scientist/Software Engineer - AI Model Training at Outlier is responsible for designing, developing, and optimizing machine learning models that enhance our data intelligence platform. The individual will work collaboratively with cross-functional teams to identify opportunities for AI-driven solutions, manage the data pipeline, and ensure the quality and integrity of the training datasets. This role demands a strong analytical mindset and a thorough understanding of statistical methods, as well as proficiency in writing clean, efficient code to facilitate robust model training and validation processes.

Job Responsibilities

• Design and implement end-to-end machine learning pipelines for AI model training.
• Collaborate with data engineers to curate and manage datasets that are essential for achieving high model accuracy.
• Conduct exploratory data analysis to uncover trends, anomalies, and insights to inform model development.
• Optimize existing AI models, focusing on performance and accuracy enhancements using A/B testing methodologies.
• Document processes, code, and models to ensure transparency and reproducibility across teams.
• Stay updated with the latest advancements in machine learning and AI practices, integrating new methodologies into existing frameworks.
• Assist in troubleshooting and debugging of models during and post-deployment phases to ensure they meet business requirements.
• Leverage cloud-based services to scale model training and deployment processes.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
• Proven experience in a data scientist or software engineering role with a focus on machine learning.
• Proficient in programming languages such as Python or R, with a strong understanding of libraries like TensorFlow or PyTorch.
• Experience with data manipulation tools such as SQL, Pandas, and NumPy.
• Familiarity with cloud platforms and services such as AWS, Google Cloud, or Azure.
• Solid understanding of statistical analysis, predictive modeling, and performance metrics.
• Strong communication skills to effectively convey complex concepts to non-technical stakeholders.

Technologies & Tools

The Remote Data Scientist/Software Engineer will primarily work with programming languages such as Python and R, utilizing software libraries including TensorFlow, PyTorch, Scikit-learn, and data manipulation tools like SQL, Pandas, and NumPy. Familiarity with cloud platforms such as AWS, Google Cloud, or Azure will be critical for deploying machine learning models. The role may also involve using version control systems like Git to manage code and project contributions efficiently.

Ideal Candidates

Ideal candidates for this position will possess strong analytical skills, a problem-solving mindset, and a passion for leveraging data to drive business success. They should be team-oriented, able to engage effectively with various stakeholders, and demonstrate a proactive attitude to learning and adapting to new technologies. Effective time management and the ability to handle multiple projects simultaneously are also key characteristics that would contribute to success in this dynamic role.