We are:
Wizeline a global AI-native technology solutions provider develops cutting-edgeAI-powereddigital 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 ofgrowth collaborationandimpact.
With the right people and the right ideas theres no limit to what we can achieve
Are you a fit
Sounds awesome right Now lets make sure youre a good fit for the role:
Requirements
- Bachelors required; Masters preferred in CS Engineering or related.
- 58 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 culturehere.
Required Experience:
IC
We are:Wizeline a global AI-native technology solutions provider develops cutting-edgeAI-powereddigital 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 ofgro...
We are:
Wizeline a global AI-native technology solutions provider develops cutting-edgeAI-powereddigital 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 ofgrowth collaborationandimpact.
With the right people and the right ideas theres no limit to what we can achieve
Are you a fit
Sounds awesome right Now lets make sure youre a good fit for the role:
Requirements
- Bachelors required; Masters preferred in CS Engineering or related.
- 58 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 culturehere.
Required Experience:
IC
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