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Principal AI Engineer
3 months ago
Job Title: Principal AI Engineer / Lead AI Consultant
As a leading provider of Human Capital Management (HCM) solutions we are seeking an experienced AI consultant to join our dynamic team. The Ideal candidate will have a broad understanding of emerging trends and tooling, with the ability to pioneer the use of AI to drive innovation and create new business propositions, with a demonstratable record of deploying AI enabled solutions to deliver business value.
As the Lead AI Consultant at Kallidus, you will play a central role in shaping the strategic direction of AI implementation in HCM. We are looking for a dynamic leader with a start-up mentality — someone who is not only a hands-on expert in AI but is also passionate about driving innovation, unafraid to take risks, and capable of turning challenges into opportunities, and ultimately build a long-term vision.
Reporting directly to the CTO you will be responsible for driving AI adoption at Kallidus. Working with the senior product, technical and operational managers, you will:
- Be responsible for the technical integration strategy of the product suite.
- Define both the internal and external technical API strategy.
- Work with our newly formed AI team to determine how value can be added to existing product set through the application of contemporary technologies.
As an AI Consultant, you will also:
- Play a pivotal role in the design, development, and implementation of AI solution
- Integrate AI solutions with client data, APIs, and production systems.
- Conduct data analysis and design machine learning models
- Utilise modern ML and AI libraries and frameworks
- Deliver reliable solutions collaboratively.
Desired Experience
- Considerable experience as an AI Consultant, Machine Learning Engineer, or similar role.
- Experience in developing AI solutions within start-up or dynamic industry environments.
- Hands-on experience with cloud-based AI and ML solutions, such as Azure Machine Learning, Azure AI Services, Azure Data Lake, or similar solutions.
- Knowledge of generative AI-centric applications and embedding models.
- MLOps and DevOps practices, for software and ML model testing and deployment
- Programming languages, in particular Python and C#
- Experience working with Big Data technologies and ETL processes
- Distributed computing frameworks such as Kubernetes
Skills
- Critical thinking
- Effective communication and interpersonal skills.
- Strong problem-solving and analytical skills.
- Expertise working in a dynamic environment.
- Competitive salary and pension.
- Health and wellness programmes.
- Very collaborative, supportive, and innovative work environment.
If you are an AI expert with a passion for innovation, we invite you to apply and contribute to the continued success of our business.
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