About the Role
We are seeking an experienced, energetic, and highly motivated Senior AI/ML Engineer to join our dynamic organization. This role forms part of our Data and AI practice within the 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. This is an environment where you bring your energy and ideas, and we help you translate them into tangible solutions that drive real value.
The successful candidate will be expected to deliver excellence across three core pillars:
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What We Expect From You
- Technical Mastery and Execution. We expect you to bring a wealth of experience, 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. 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 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. We adapt to what our customers need around a certain set of hyperscalers: Google Cloud, AWS, Azure, Oracle Cloud; and modern ML technologies (e.g., Python, TensorFlow, PyTorch, and various GenAI frameworks/LLMs).
- 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. We believe in autonomy, mastery, and purpose. We trust you to bring your best self and pursue continuous growth. We provide interesting and challenging work which supports that. We are a collaborative organization, 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 listen actively, 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).
