Senior Consultant/Manager, AI/ML Engineer, AI Scaling and Transformation, Engineering, AI Data, Technology Transformation
Actively Hiring
Full-time $24k Posted 3 days ago
Responsibilities
- check_circle Work with client stakeholders, product owners and Deloitte teams to understand business challenges and translate them into practical AI/ML solution designs.
- check_circle Design, build, test and deploy machine learning models, Generative AI components, data pipelines and analytics solutions that are robust, scalable and maintainable.
- check_circle Take ownership of technical deliverables or workstreams, ensuring engineering outputs are aligned to agreed requirements, delivery plans and quality standards.
- check_circle Support the deployment and operationalisation of AI systems, including model monitoring, performance optimisation, CI/CD and MLOps practices.
- check_circle Collaborate with solution architects, data scientists, business analysts and engineers to ensure AI solutions are integrated effectively into wider technology and business environments.
- check_circle Apply responsible AI, security, privacy and governance considerations throughout the development lifecycle.
- check_circle Contribute to the development of junior team members by sharing engineering knowledge, reviewing outputs and supporting a culture of continuous improvement.
Basic qualifications
- Degree or equivalent experience in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, Machine Learning or a related discipline.
- Hands-on experience designing, developing and deploying AI, machine learning or Generative AI solutions in a consulting, commercial or technology delivery environment.
- Experience working with business and technical stakeholders to understand requirements, shape solution options and deliver measurable outcomes.
- Proven ability to own technical deliverables or workstreams, manage delivery priorities and communicate progress clearly to project teams and stakeholders.
- Experience working in data-intensive, regulated or complex enterprise environments is advantageous.
Preferred qualifications
- Strong proficiency in Python or another modern programming language used for AI/ML development, with practical experience across model development, testing and deployment.
- Experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost or equivalent.
- Practical knowledge of Generative AI techniques, including large language models, prompt engineering, retrieval-augmented generation, model evaluation and responsible AI considerations.
- Understanding of MLOps and production AI practices, including CI/CD, model versioning, monitoring, automated testing, retraining and performance optimisation.
- Experience using cloud platforms and cloud-native AI/ML services, such as Azure, AWS or GCP, to build and deploy scalable solutions.
- Strong communication and collaboration skills, with the ability to explain technical concepts to both engineering teams and non-technical stakeholders.
Tags & Focus Areas
Remote Ai Ai Engineer Machine Learning Generative Ai
About Deloitte
· Do you want to learn and grow from top experts in the Finance and Performance space? · Are you excited to have real-world opportunities to develop your Finance skills? · Get hands-on experience in one the best consulting careers available
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