AI Operations Specialist

Company Description

We are in Business for People, empowering people in service organizations with innovative Enterprise and Business software solutions. We’ve innovated and taken a new approach to delivering ERP that works for people. Self-driving, adaptive and intuitive software that is changing the way people work. Our solutions empower people and deliver a better people experience so people can spend time on meaningful high value work they live for. 

Read more on our website about how we transform work and how people feel about it, so our customers and their people can thrive. 

Job Description

We are looking for a highly motivated AI Operations Specialist to join our team. Ideal candidate will have expertise in managing AI and machine learning models on Snowflake. In this standalone role, you will take ownership of the operational lifecycle of AI/ML models deployed within Snowflake, ensuring their reliability, scalability, and performance. You will bridge the gap between development and production, applying advanced MLOps practices tailored to Snowflake’s data ecosystem to deliver seamless AI-powered insights to the business.

You will act as the primary point of accountability for AI operations, bridging the gap between development and production environments. Your work will directly impact the efficiency and effectiveness of AI solutions, empowering business teams to make data-driven decisions with confidence.

Key Responsibilities

1. Model Deployment and Management

• Build and maintain deployment pipelines for AI/ML models and ensure seamless transition from development to production.
• Collaborate with data scientists and engineers to ensure models are properly versioned, tested, and deployed.
• Implement monitoring tools to track performance metrics like accuracy, latency, and resource utilization.

2. System Monitoring and Incident Management

• Monitor AI systems in real time to detect anomalies, failures, or performance degradation.
• Respond to incidents to minimize downtime and business impact.
• Develop and maintain dashboards for key AI system performance metrics.

3. Performance Optimization

• Analyze and improve model inference times and operational efficiency.
• Identify bottlenecks in data pipelines and recommend solutions to optimize throughput.
• Proactively manage cloud resources to balance cost and performance.

4. Data Management

• Collaborate with data engineering teams to ensure the availability of high-quality data for AI systems.
• Implement processes for automated data validation, anomaly detection, and error correction.
• Manage data lineage and compliance requirements for AI-related workflows.

5. Continuous Improvement

• Apply best practices to enhance AI model lifecycle management.
• Stay updated on emerging technologies and tools for AI operations.
• Provide feedback to improve model training, testing, and deployment workflows.

Qualifications

Must-Have Skills

• Snowflake Expertise:
  • Hands-on experience with Snowflake, including Snowpark, virtual warehouses, and query performance optimization.
  • Proficiency in Snowflake-native ML and integration with external AI tools.
• AI/ML Knowledge:
  • Strong foundation in AI/ML principles, with practical experience in deploying and monitoring models in production.
  • Experience working with Python and SQL, especially in Snowflake environments.
• Operational Skills:
  • Familiarity with CI/CD pipelines tailored for AI/ML workflows.
  • Knowledge of data validation and monitoring tools for maintaining data integrity.
• Soft Skills:
  • Self-starter with the ability to work independently and manage end-to-end responsibilities.
  • Strong analytical and problem-solving skills.
  • Clear communicator who can collaborate across teams.

Nice-to-Have Skills

• Experience with cloud platforms (Azure) and their integration with Snowflake.
• Certifications in Snowflake, AI/ML, or cloud platforms.
• Familiarity with additional tools like dbt, MLFlow, or Airflow for enhanced Snowflake workflows.

Experience Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in managing AI/ML models, with at least 1 year of specific experience on Snowflake.
• Proven ability to manage production-grade AI models within a Snowflake environment.

Additional Information

Why Join Us?

• Take ownership of Snowflake-centric AI operations, a critical and growing function in the organization.
• Collaborate on cutting-edge AI/ML projects powered by Snowflake’s industry-leading data cloud.
• Competitive salary and benefits, with opportunities for continuous learning and professional growth.

If you’re passionate about operationalizing AI models on Snowflake and driving impactful business outcomes, we encourage you to apply for this exciting role. Join us to lead AI on Snowflake to the next level!

Join Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. We’re a fast-paced, high-growth, people-centric company, delivering enterprise software for a great people experience, and offering our own people a host of benefits and development opportunities. Grow with us.

At Unit4, we offer:

• a culture built on trust - giving you the freedom and autonomy to be successful, 
• balance - with our uncapped time off policy, remote working opportunities and Global Wellbeing Days when the whole company can switch off and prioritize well-being,
• talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry,
• a commitment to sustainability - with initiatives such as our Act4Good program, a way for everyone at Unit4 to come together and engage in actions that benefit society and the planet,
• a safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, and People of Color at Unit4.