Remote Data Scientist/Software Engineer - AI Model Training

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Job Overview

The Remote Data Scientist/Software Engineer - AI Model Training at Outlier AI will play a critical role in designing, developing, and optimizing AI models that drive our data analytics solutions. The successful candidate will harness their expertise in data science and software engineering to build robust machine learning algorithms, engage in feature engineering, and collaborate closely with cross-functional teams to ensure the delivery of high-quality AI-powered products. The position requires strong analytical skills, creativity in problem-solving, and a commitment to continuous improvement in model performance. You will also be responsible for exploring new methodologies and technologies to enhance our AI capabilities.

Job Responsibilities

• Develop, train, and validate machine learning models for various applications.
• Collaborate with data engineers to prepare and preprocess data for model training.
• Conduct feature engineering and selection to improve model accuracy.
• Implement and maintain monitoring systems for model performance in production.
• Explore and adopt the latest advancements in AI and machine learning techniques.
• Provide insights and guidance to enhance the overall AI strategy of the organization.
• Create comprehensive documentation of models, experiments, and processes.
• Participate in code reviews and ensure adherence to best practices within the team.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
• 3+ years of experience in data science or software engineering focused on AI model training.
• Proficiency in programming languages such as Python and R.
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data wrangling and analysis using libraries like Pandas and NumPy.
• Solid knowledge of statistical methods and their practical applications in AI.
• Familiarity with cloud services (AWS, Azure) and CI/CD practices is a plus.
• Excellent problem-solving skills and the ability to work in a remote team environment.

Technologies & Tools

The position will involve the use of advanced data science and machine learning tools including but not limited to Python, R, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and cloud platforms like AWS or Azure. Familiarity with version control systems (such as Git) and containerization technology (Docker, Kubernetes) will be beneficial for seamless collaboration and deployment of models.

Ideal Candidates

An ideal candidate for the Remote Data Scientist/Software Engineer - AI Model Training position is a proactive and curious individual who thrives in a dynamic and fast-paced environment. They possess exceptional analytical thinking and problem-solving abilities, along with a solid foundation in mathematics and programming. A collaborative mindset, excellent communication skills, and a passion for machine learning and AI technologies are essential traits that will contribute to the candidate's success in this role. Moreover, the candidate should demonstrate a results-oriented approach and a commitment to continually learn and adapt in the rapidly evolving field of data science.