Data Scientist - ML Engineering
Descripción del puesto
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:
Key Responsibilities
- Architect end-to-end ML infrastructure across pipelines, serving, monitoring, and governance.
- Lead deployment of high-impact models (forecasting engines, optimization solvers, NLP models).
- Design advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks.
- Implement model registry, versioning, lineage, and audit compliance.
- Build monitoring systems for model drift and retraining automation.
- Mentor MLOps engineers and guide cross-functional platform integration.
- Drive adoption of MLOps best practices, from containerization to observability.
Must-have Skills
- 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.
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.
Habilidades mencionadas
We are a global technology services company that partners with clients worldwide to accelerate their digital agendas. We combine a boutique approach with enterprise-scale delivery to modernize infrastructure, engineer data-driven solutions, and integrate cutting-edge AI. Trusted by top-tier partners in media, financial services, retail, healthcare, and beyond, our consultative, 'fuller stack' methods help teams prioritize impact, drive innovation, and achieve outperformance. We call it the Wizeline Way. Founded in Silicon Valley and now operating globally, we act as an extension, accelerator, and collaborator for your team, driven to get more of your digital agenda done. Our services are designed to bolster modern performance, delivering breakout software solutions through product-centric methods. We migrate, modernize, and optimize applications to enhance performance, scalability, and resilience. We also build scalable data platforms that unlock insight-driven decisions and AI-powered results. Our approach focuses on products, not just projects. As a result, our teams don't just write code – they deliver outcomes. We work with industry leaders to deliver smarter, more connected solutions. In healthcare, this means streamlining operations and enhancing care at every touchpoint. For financial institutions, we leverage our deep fintech expertise to build secure, scalable, and compliant technology that powers transactions and customer experiences, helping them modernize legacy systems and stay ahead in an evolving landscape. As partners to major players in the media and entertainment industry, our tech solutions reach hundreds of millions of consumers monthly. We also help brands of all sizes create seamless shopping experiences, optimize supply chains, and drive loyalty by leveraging AI and automation to personalize engagement and boost efficiency. We are committed to fostering a diverse, inclusive, and harassment-free workplace where everyone can achieve their potential and offer exceptional career growth opportunities through skill development workshops, mentoring programs, and support for side projects.
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