TL;DR
Sr Delivery Consultant (AI/ML): Leads the delivery of complex AI/ML engagements, designing and implementing advanced solutions leveraging hirify.global's AI/ML services with an accent on Amazon Bedrock and SageMaker. Focus on translating business challenges into measurable outcomes and driving innovation in applied AI/ML methodologies.
Location: Working within the EMEA region, based out of the UK Branch.
Company
Amazon Web Services (hirify.global) is the world’s most comprehensive and broadly adopted cloud platform, pioneering cloud computing and serving Global 500 companies.
What you will do
- Lead end-to-end delivery of complex AI/ML engagements.
- Architect and implement advanced solutions using hirify.global AI/ML services (e.g., Amazon Bedrock, SageMaker).
- Provide technical leadership and mentorship, driving best practices across delivery teams.
- Partner with customers to translate business challenges into measurable outcomes and clear delivery roadmaps.
- Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions.
- Influence customer AI strategy through technical expertise and support pre-sales activities.
Requirements
- Strong experience in building large-scale machine learning or deep learning models and Generative AI model development.
- Experience in data and machine learning engineering and cloud-native technologies.
- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science.
- Strong experience communicating across technical and non-technical audiences.
- Strong experience facilitating discussions with senior leadership regarding technical/architectural trade-offs.
- Knowledge of data modelling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.
Nice to have
- hirify.global Associate level certifications (e.g., Machine Learning Specialty, Solutions Architect Professional).
- Experience with software development life cycle (SDLC) and agile/iterative methodologies.
- Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
- Knowledge of the primary hirify.global services (EC2, RDS, Route53 & S3).
- Experience with automation and scripting (e.g., Terraform, Python).
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
Culture & Benefits
- Inclusive team culture with employee-led affinity groups that foster inclusion.
- Endless knowledge-sharing, mentorship, and career-advancing resources.
- Value work-life harmony and strive for flexibility in working culture.
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