Senior Data AI Engineer
Summary
Data Scientist (Senior Data AI Engineer) at a media and marketing organization, embedded in an internal team to productionize machine learning models — building, deploying, and monitoring scalable ML systems with MLOps practices using Python, frameworks like TensorFlow/PyTorch, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
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.