Consultant / AI Engineer
Role Overview
SDG Group is seeking a Consultant / AI Engineer for its data and analytics consultancy.
The position is described as Milton Keynes/London/Hybrid; salary is stated as negotiable with bonus and benefits, without a specific compensation cadence.
Key Skills for This Role
Full Job Posting
Role overview
SDG Group is seeking a Consultant / AI Engineer for its data and analytics consultancy.
The position is described as Milton Keynes/London/Hybrid; salary is stated as negotiable with bonus and benefits, without a specific compensation cadence.
What you'll do
- Develop AI solutions from business objectives and challenges through production-ready systems.
- Industrialize machine learning systems using MLOps practices to improve scalability and reliability.
- Design and implement advanced analytics platforms and cloud-based systems for large-scale data science operations.
- Use cloud tools and platforms to develop and deploy data science and MLOps solutions.
Core requirements
- Degree in Computer Engineering, Telecommunications Engineering, or a related technical discipline in software engineering.
- At least four years as a machine learning engineer or similar, with hands-on experience building and deploying AI and ML solutions.
- Solid understanding of data science fundamentals, solution lifecycle, and MLOps.
- Proficiency in software development and AI/ML systems using Python, R, Docker, Kubernetes, Azure Databricks, MLflow, and Google Vertex AI.
Highly valued qualifications
- A master's or Ph.D. in big data, artificial intelligence, or a related field is highly valued.
- Data and analytics consulting experience, data engineering experience, and hands-on cloud expertise are highly valued.
- Relevant certifications in machine learning system development across Azure, AWS, or Google Cloud are highly valued.
About SDG Group
SDG Group provides data, analytics, and AI consulting services, with multidisciplinary AI teams, technology accelerators, and cloud-provider partnerships.
The company describes opportunities for client projects, learning, professional development, and customized career paths.
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