Ai/Ml Engineer
Role Overview
Senior AI/ML Engineer in ADG’s Data and AI practice within the Engineering Team.
Deliver technical solutions for customers and ADG’s own business, with emphasis on innovation and business value.
Key Skills for This Role
Full Job Posting
Role overview
Senior AI/ML Engineer in ADG’s Data and AI practice within the Engineering Team.
Deliver technical solutions for customers and ADG’s own business, with emphasis on innovation and business value.
Role expectations
- Architect and build robust, scalable ML pipelines using relevant training methodologies, algorithms, and evaluation metrics.
- Translate business challenges into effective, measurable AI/ML solutions.
- Take initiative to improve services, architectures, and internal systems.
- Mentor junior engineers, guide technical discussions, and strengthen the Data and AI practice.
Technology environment
- The technology stack may include Google Cloud, AWS, Azure, Oracle Cloud, Python, TensorFlow, PyTorch, and GenAI frameworks or LLMs.
- The employer describes its customer-driven technology stack as adaptable.
Requirements
- At least 7 years of industry experience in AI/ML engineering, data engineering, and architectures.
- Computer Science degree or equivalent, or significant proven industry experience.
- Hands-on experience designing, building, and deploying end-to-end ML pipelines in production.
- Practical understanding of ML training, classical and deep learning algorithms, and data preparation.
- Strong practical knowledge of GenAI technologies, LLMs, and related tooling.
- Ability to understand complex business challenges and design technical solutions that deliver ROI.
- Advanced Python proficiency and solid experience with at least one of Google Cloud, AWS, or Azure.
What the employer offers
- A supportive environment with resources to architect solutions, lead complex projects, and impact customer outcomes.
- A collaborative culture focused on autonomy, mastery, purpose, and continuous growth.
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