AI/ML Engineer

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.

We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.

If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.

For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.

The Job

We are looking for an AI/ML Engineer to bridge the gap between our new data science team and IT operations, streamlining and scaling machine learning workflows and GenAI services in production environments. The role involves implementing CI/CD pipelines tailored to AI/ML workflows, managing cloud data and ML tools, and ensuring efficient, reliable, and scalable machine learning and GenAI deployments.

Responsibilities 

• Design, develop, validate, and maintain advanced modelling algorithms and pipelines using the latest AI/ML technologies.

• Implement and deploy ML models and GenAI services to improve business metrics.

• Embrace and innovate with new tools and methodologies to continuously monitor and optimize AI/ML models, striving for scalable, reliable, and well-maintained systems.

• Implement and manage CI/CD pipelines tailored for AI/ML workflows, ensuring automation and version control.

• Work with large datasets; extract and manipulate data using tools such as Spark SQL, command line, and scripting languages.

• Leverage cloud platforms for streamlined deployment.

• Work closely with data scientists, software engineers, data engineers, and business stakeholders to ensure the success and alignment of AI/ML solutions.

• Operate within an agile framework, working closely with cross-functional teams.

• Enhance internal AI/ML capabilities through comprehensive documentation of processes, models, key learnings, and contributions.

• Uphold ethical standards, adhere to privacy regulations, ensure fairness in AI models, and maintain compliance with data governance and security standards.

Skills and Qualifications:

• A degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

• Certifications in relevant AI/ML tools and cloud platforms like Azure are highly desirable and will be beneficial for continuous professional development.

• Demonstrable experience in designing, developing, and implementing AI/ML models.

• Proven track record in building and maintaining data pipelines, data wrangling, and model training/inference processes in cloud environments, mainly Microsoft Azure.

• Extensive experience in Azure Databricks, along with proficiency in server-less computing, containerization, and essential tools like Azure DevOps, Kubernetes, MLflow, and Docker

• Experience in working within cross-functional teams in an Agile framework.

• Strong foundation in DevOps principles, including experience in implementing and managing CI/CD pipelines, automation, and version control.

• Deep understanding of machine learning algorithms, their assumptions, and the process of fine-tuning parameters.

• Proficiency in programming languages like Python and SQL, with knowledge of other languages as added advantages.

• Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-Learn, as well as big data processing frameworks like Hadoop and Spark.

• Experience in ensuring adherence to data governance, ethical standards, privacy regulations, and compliance guidelines in AI.

• Proven skills in improving ML pipeline efficiency, cost-effectiveness, and scalability.

• Excellent collaboration, communication, problem-solving, and troubleshooting skills with a knack for diagnosing issues in ML models in production.

• Ability to effectively document complex processes, models, and key learnings.

• A strong mindset for continuous improvement and innovation, essential for reaching new heights in a nascent Databricks practice.

AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment.  Background checks will be conducted in accordance with local laws and may, subject to those laws,  include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check.  Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.