Data Scientist

At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures.

Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives.

As a Mid Data Scientist, you will design and deliver production-grade machine learning solutions in a cloud-native environment, working with cutting-edge technologies including Azure, Databricks, and Large Language Models. You'll tackle complex, real-world data problems for international clients - with a particular focus on computer vision and image recognition use cases.

Expect hands-on work with neural networks, LLMs, and modern MLOps practices across high-visibility projects for Fortune 500 organizations.

You'll join a team of passionate engineers and data scientists who value technical excellence, collaboration, and continuous growth.

• 3+ years of commercial experience as a Data Scientist.
• Strong proficiency in Python and hands-on experience with machine learning and deep learning frameworks.
• Solid understanding of neural network architectures and model training best practices.
• Practical experience with computer vision techniques - image classification, object detection, or image recognition.
• Familiarity with Azure ML, Databricks, or similar cloud-based ML platforms.
• Experience with LLMs, LangChain, or structured output techniques.
• Hands-on knowledge of OpenCV and image processing pipelines.
• Comfortable with Git and collaborative development workflows.
• Strong problem-solving skills with the ability to work independently on technically challenging tasks.
• Fluent English communication, able to collaborate effectively across international teams.

Nice to have:

• Hands-on experience with Databricks Asset Bundles and MLOps workflows.
• Experience delivering end-to-end computer vision or image recognition projects in a commercial setting.
• Familiarity with Azure DevOps or CI/CD practices for ML pipelines.
• Exposure to structured output engineering for production LLM applications.
• Knowledge of model monitoring, drift detection, or A/B testing in production environments.

• Designing, developing, and deploying production-grade machine learning and deep learning models using Python, Azure ML, and Databricks.
• Building and optimizing computer vision and image recognition solutions using OpenCV and related frameworks.
• Working with LLMs, structured outputs, and LangChain to develop intelligent, data-driven applications.
• Managing end-to-end ML workflows - from data preparation and model training to evaluation, deployment, and monitoring.
• Collaborating with data engineers, architects, and business stakeholders to translate complex requirements into scalable ML solutions.
• Managing code, experiments, and model versioning using Git and Databricks Asset Bundles.
• Contributing to MLOps practices - ensuring models are reproducible, maintainable, and production-ready.
• Staying up to date with emerging research and technologies in AI, ML, and computer vision.

CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.