Ai/Ml Engineer

Job Title: Senior AI/ML Engineer We are seeking an experienced, energetic, and highly motivated Senior AI/ML Engineer to join our dynamic organisation. This role forms part of our Data and AI practice within our Engineering Team. You will be a lead part of a team of Data and AI practitioners delivering amazing technical solutions to our customers and our own business. This position demands a high level of expertise in AI and Machine Learning technologies, a deep understanding of business contexts, and a strong motivation to innovate and lead. ADG is not a place for being still; this is an environment where you bring your energy and ideas, and we help you translate them into tangible solutions which drive real value. The successful candidate will be expected to deliver excellence across three core pillars: What we expect from you: • Technical Mastery and Execution. At ADG we believe in mastery. We expect you to bring a wealth of experience to the table, specifically in architecting and building robust, scalable ML pipelines. You must possess a deep understanding of ML training methodologies, relevant algorithms, and evaluation metrics, while also staying at the forefront of GenAI technologies to solve complex, modern problems. • Business Acumen and Initiative. At ADG, we are always improving. We expect you to go beyond the code to deeply understand the underlying business challenges our customers face and translate them into effective, measurable AI/ML solutions. If you see an opportunity for us to improve our services, architectures, or internal systems, speak up and take the initiative to drive that change. • Mentorship and Skills Development. We believe in staying certified and ahead of the curve on technologies our customers use and want. This means we expect you to continuously refine your own skills, while also stepping up to mentor junior engineers, guide technical discussions, and elevate the overall capability of our Data and AI practice. What you can expect from us: • Technology Stack. At ADG we adapt to what our customers need. This usually coalesces around a certain set of hyperscalers: Google Cloud, AWS, Azure, Oracle Cloud; and a robust set of modern ML technologies (e.g., Python, TensorFlow, PyTorch, and various GenAI frameworks/LLMs). But we’re always learning more! • A platform for impact. We provide a supportive environment that values your senior expertise from day one. You’ll be given the space and resources to architect innovative solutions, lead complex projects, and have a direct, tangible impact on our customers' success. • A culture which values your journey. At ADG, we believe in autonomy, mastery, and purpose. We trust you to bring your best self to ADG and pursue continuous growth. We provide interesting and challenging work which assists that. We are a very collaborative organisation, which means you’ll find colleagues who support each other, brainstorm together, and build together. Requirements of this role: • At least 7 years of proven industry experience in AI/ML engineering, data engineering and architectures. • A Computer Science (or equivalent) degree, or significant proven industry experience. • Proven, hands-on experience in designing, building, and deploying end-to-end ML pipelines into production environments. • A deep and practical understanding of ML training processes, relevant machine learning algorithms (both classical and deep learning), and data preparation techniques. • Strong knowledge of and practical experience with Generative AI (GenAI) technologies, LLMs, and related tooling. • A go-getter attitude with a demonstrated ability to actively listen, understand complex business challenges, and design technical solutions that deliver ROI. • Advanced proficiency in Python and solid experience with at least one major cloud provider (Google Cloud, AWS, or Azure). Show more Show less

Note: The posting emphasizes being a Senior AI/ML Engineer who leads and mentors within a Data and AI practice, architecting and delivering robust, scalable ML pipelines, translating business challenges into AI/ML solutions, and mentoring junior engineers. Responsibilities include designing and building ML pipelines, staying ahead with GenAI technologies, guiding technical discussions, and driving value for customers and internal systems.