Senior Data AI Engineer

Senior Data AI Engineer at Tech Rise Ventures B.V

Full Time

Start Date

Immediate

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Description

A leading media and marketing organization are seeking a Data Scientist to join its internal team. The company is focused on leveraging data and AI to drive scalable, business-critical solutions and deliver measurable outcomes across multiple industries.

Role Overview: The Data Scientist will focus on productionizing machine learning models , transforming prototypes into robust, scalable systems that support key business operations. The role is central to embedding AI and data-driven insights into the company’s processes, working closely with internal teams to maximize impact.

Key Responsibilities: Collaborate with internal stakeholders to identify opportunities for machine learning applications.

Develop, deploy, and maintain machine learning models in production environments.

Optimize and monitor models to ensure performance, scalability, and reliability.

Implement best practices in MLOps, version control, and model lifecycle management.

Integrate models into operational systems alongside engineering and analytics teams.

Document workflows, code, and methodologies to ensure maintainability and reproducibility.

Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

Proven experience in deploying machine learning models in production.

Proficiency in Python or a similar language, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Familiarity with MLOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines.

Strong understanding of data pipelines, ETL processes, and cloud platforms (AWS, GCP, Azure).

Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Preferred: Experience working with large-scale media or marketing datasets.

Knowledge of advanced ML techniques such as recommendation systems, NLP, or predictive analytics.

Why Join: Opportunity to work on high-impact projects that directly influence business strategy.

Exposure to cutting-edge AI and data-driven solutions within a global organization.

Collaborative, inclusive, and innovative culture that encourages continuous learning.

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