We are seeking a Senior ML/AI Engineer with a strong focus on machine learning engineering and pipeline productionization. You will work at the intersection of ML research, cloud engineering, and data platform strategy collaborating with data engineers, platform architects, and analytics teams to ensure models accuracy, but also performance and observability.
Your expertise in notebook-based development, MLOps, and cloud platforms will be essential in implementing production-grade workflows, retraining pipelines, and intelligent data products at scale. If you thrive on taking models from prototype to production and enabling intelligent applications in the real world, this is the role for you.
Missions
- ML Engineering & Deployment
- Design, build, and productionize applied ML models and services from ideation to deployment
- Lead the development of ML applications with a focus on maintainability, robustness, and impact.
- Pipeline Productionization & MLOps
- Architect and deploy ML pipelines with integrated CI/CD, containerization, and orchestration.
- Champion MLOps practices to ensure reproducibility, governance, and model lifecycle management across teams and environments.
- Cloud-Native Architecture
- Leverage Snowflake as the core data platform for building applied ML solutions, using its native ML capabilities and SQL extensions.
- Design architecture that balances compute efficiency, flexibility, and observability across production workloads.
- Cross-Team Collaboration
- Partner with data engineers, analysts and platform architects to ensure end-to-end integration of ML/AI solutions.
- Support presales efforts and use case framing in collaboration with the Head of Data & AI
- Embed ML/AI outputs into analytics tools, applications, or process automation to enhance decision-making and operational efficiency.
- Leadership, Reusability & Enablement
- Develop reusable frameworks, components, and templates to accelerate AML/AI project delivery across the business.
- Establish and document engineering best practices – ensuring consistent development, versioning, testing, and deployment standards.
- Mentor junior engineers and data scientists on production workflows, deployment strategies, and scalable ML engineering.
- Promote a culture of continuous learning and operational excellence in AI delivery.
Qualifications:
- At least Bachelor’s degree in Computer Science, Data Science, or a related field.
- Passionate about turning AI into applied, real-world impact, not just experimentation.
- Strong foundation in software engineering, especially in Python and working with production-quality ML systems.
- Demonstrated experience in MLOps, including CI/CD pipelines, model serving, monitoring, versioning, and container orchestration.
- Proven track record of deploying ML/AI solutions in production, including batch and real-time inference on large or streaming datasets.
- Hands-on experience with cloud-native platforms, particularly Snowflake, and optionally with Databricks, AWS, Azure, or GCP.
- Familiar with the entire ML lifecycle: data wrangling, preprocessing, feature engineering, model development, and inference optimization.
- Exposure to modern AI trends including LLMs, GenAI, RAG, prompt chaining, and agentic workflows is a strong plus.
- Comfortable working across disciplines – strong communicator with the ability to explain complex ML concepts to both technical and business audiences.
Nice to Have:
- Experience integrating ML/AI outputs into BI platforms or dashboards.
- Understanding of data governance, privacy, and responsible AI practices.
We offer
- Competitive salary and performance-based incentives.
- Multinational and fast-growing team with exciting regional projects.
- Flexible, collaborative, and supportive work environment.
- International exposure and career development opportunities.
- Health and accident insurance.
Our recruitment process:
- First Round – Initial test & HR Interview
Includes an online logic & personality test to get to know you better prior the HR interview. - Second Round – Technical Assessment
Your chance to showcase your skills through a focused technical assessment. - Third Round – Operational Interview
An in-depth conversation with the Line Manager to explore your expertise and fit. - Final Decision
Internal alignment and, if successful, a formal offer to join the team!