We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
With the right people and the right ideas, there’s no limit to what we can achieve
Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Requirements
- Bachelor's required; Master's preferred in CS, Engineering, or related.
- 5–8+ years in ML Engineering, MLOps, or high-scale ML systems.
- Deep expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
- Proven track record deploying ML at enterprise scale with audit and monitoring layers.
- Familiarity with hybrid/multi-cloud infrastructure.
Soft Skills
1. Strategic, persuasive, and business-oriented communication.
- Strong storytelling to explain, defend, and "sell" complex solutions.
- Ability to lead complex conversations with clients and senior stakeholders.
- Clear, structured, and confident responses to objections or ambiguous scenarios.
- Ability to translate technical topics into business impact and decision-making.
- Ability to build trust, credibility, and alignment through communication.
Nice-to-have:
- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
- Leadership experience in ML platform or DevOps teams.
- Experience with feature stores and feature engineering. AutoML is a plus, H2O is a plus.
What we offer:
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
*Specific benefits are determined by the employment type and location.
Find out more about our culture here.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field
- 5-8+ years in ML Engineering, MLOps, or high-scale ML systems
- Deep expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker
- Proven track record deploying ML at enterprise scale with audit and monitoring layers
- Familiarity with hybrid/multi-cloud infrastructure
What We Do
Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.
.png){kind=logo}
