AI/ML Software Engineer Job Description

We have crafted a series of job description examples for a variety of digital roles. Sometimes recruiters and HR departments ask us to help them write their job specs. Since this is very useful to them, we’ve realised that this could be useful to others too, so that’s why we are publishing them here. These examples are the result of careful research from thousands of job offers historically published on our job board, and more than 20 years experience in the market that gives us the insight into what’s needed for any role in digital.

Example of a AI/ML Software Engineer Job Description

INTRODUCTION:

• Company overview: Founding vision, current state of affairs, size, relevant stats. 
• Role mission: Goals, team, and resources to make it happen. 

 RESPONSIBILITIES:

• Lead the design, development, and optimization of AI and machine learning systems, including supervised, unsupervised, and reinforcement learning models.
• Conduct data collection, preprocessing, and analysis to build high-quality datasets for training and validating machine learning models.
• Develop and deploy machine learning models and algorithms, ensuring they meet performance and accuracy requirements.
• Identify and resolve issues related to model performance and data quality through hands-on experimentation, testing, and data analysis.
• Ensure compliance with data privacy regulations and ethical AI guidelines throughout the development lifecycle.
• Drive innovation by integrating cutting-edge AI/ML technologies and methodologies into projects and processes.
• Promote collaboration and creativity within the team, facilitating brainstorming sessions and sharing best practices in AI/ML engineering.
• Work closely with a diverse range of stakeholders, including data scientists, engineers, and product managers, in an agile environment.

Skills, Knowledge, and Experience:

• Minimum 3-4 years of relevant experience in AI/ML engineering, with hands-on experience in developing and deploying machine learning models.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field; an advanced degree is a plus.
• Strong portfolio of AI/ML projects, demonstrating technical expertise and successful model implementations.
• Proficiency in programming languages and frameworks commonly used in AI/ML, such as Python, TensorFlow, PyTorch, and Scikit-learn.
• Deep understanding of machine learning algorithms, data structures, and software engineering principles.

Nice to Have:

• Experience with advanced data analytics and performance monitoring tools.
• Understanding of business models and the application of AI/ML solutions to solve real-world problems.
• Experience in addressing ethical considerations and ensuring compliance with AI-related regulations and standards.
• Basic knowledge of additional programming languages or tools (e.g., R, MATLAB) for data analysis and model optimization.
• Strong communication skills, with the ability to explain complex AI/ML concepts to non-technical stakeholders and work effectively within a team.

BENEFITS: 

• Salary 
• Working arrangement: (Hybrid, Remote, Office) 
• Perks 

CTA (CALL TO ACTION)

We are accepting applications until the end of *MONTH*. We’ll be delighted to meet you for a first interview with *NAME*, our hiring manager.

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Writing a job spec is the first phase of the hiring process at any given company, we love to help companies do this in an effective way so we've put together a post where we explain our secrets for a well structured hiring process and how to make it more efficient.