Software Engineer, Data & AI/ML

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

Job Overview

As a Software Engineer specializing in Data & AI/ML at Verse, you will be instrumental in developing innovative data-driven solutions and machine learning models that enhance our product offerings. You will collaborate with cross-functional teams to analyze data sets, design algorithms, and implement robust software solutions. Your role will involve leveraging your programming skills and analytical aptitude to contribute to the future of artificial intelligence applications within our business framework.

Job Responsibilities

• Design, develop, and maintain scalable software solutions for AI and machine learning applications.
• Collaborate with data scientists and other engineers to integrate machine learning models into applications.
• Conduct data analysis to inform the development of model features and optimize algorithms.
• Implement best practices for software development, including version control, testing, and documentation.
• Participate in code reviews and contribute to collective team knowledge through sharing innovative techniques.
• Stay up-to-date with emerging trends in AI, machine learning, and software engineering methodologies.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or related fields.
• Proven experience in software development with a strong grasp of programming languages such as Python, Java, or C++.
• Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with data manipulation and analysis tools such as SQL, Pandas, and NumPy.
• Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.
• Strong analytical thinking and problem-solving skills.

Technologies & Tools

In this position, you will utilize a variety of technologies including Python for software engineering, TensorFlow and PyTorch for machine learning, and AWS or Google Cloud services for deployment and scaling. Familiarity with data visualization tools such as Tableau or Power BI may also be beneficial. You will engage with both relational databases (SQL) and big data technologies (Hadoop, Spark) to handle extensive datasets effectively.

Ideal Candidates

Ideal candidates for this role will possess a blend of technical expertise and creative problem-solving abilities. They should be proactive, self-motivated individuals who thrive in collaborative environments and are eager to learn and adapt to rapidly changing technologies. Excellent communication skills are essential to articulate complex ideas and work alongside diverse teams effectively, ensuring the successful implementation of innovative data and AI solutions.