Tillster provides digital ordering and customer engagement services to clients in the restaurant industry. Tillster aims to foster a collaborative and inclusive
Data Scientist
Location
Portugal
Posted
78 days ago
Salary
0
Seniority
Senior
Job Description
Data Scientist
Tillster
• Drive the design, development, and deployment of machine learning models, with an emphasis on the Recommender System, ensuring scalability and robustness for handling large datasets and multiple clients. • Collaborate with data engineers and ML engineers to implement MLOps best practices, ensuring seamless integration of models into production pipelines, including both batch and real-time predictions, automated model retraining, versioning, and monitoring. • Oversee the operationalization of models, including real-time predictions, batch processing, and retraining pipelines, especially for the Recommender System. • Monitor model performance post-deployment, implementing metrics and alerts to track model drift, accuracy degradation, and data changes. • Build and maintain continuous integration (CI) and continuous deployment (CD) pipelines to ensure models are rapidly and reliably updated in production. • Ensure the model serving infrastructure is optimized for performance, resource utilization, and cost efficiency, leveraging GCP. • Work closely with product managers and stakeholders to define and refine ML model objectives, translating business needs into model requirements. • Implement automated testing, validation, and documentation of models to ensure they meet performance and accuracy standards before deployment. • Act as a key technical advisor on AI and ML initiatives, working with the team to share best practices in AI, MLOps, and model deployment, while contributing to the AI-powered decision-making systems to integrate customer data with external factors (e.g., weather, location, and time of day). • Use Large Language Models (LLMs), such as Gemini, to enhance and develop AI-driven features within our platform. • Work collaboratively with cross-functional teams, ensuring teamwork and communication are key aspects of problem-solving and project success.
Job Requirements
- Bachelor’s or Master’s degree in a quantitative discipline such as Data Science, Computer Science, Engineering, or a related field;.
- Minimum of 5+ years of experience as a Data Scientist, with at least 2+ years of experience in MLOps and ML model deployment at scale.
- Proven expertise in deploying machine learning models for large-scale production environments and monitoring their performance for multiple clients or business units.
- Hands-on experience with MLOps tools such as Airflow, and cloud-based solutions (GCP Vertex AI).
- Proficiency in Python for deep learning model development and deployment (mandatory).
- Proven experience with Deep Learning and Reinforcement Learning for building machine learning models at scale (mandatory).
- Experience with NoSQL databases (e.g., MongoDB) and JSON for handling Big Data and real-time applications.
- Experience working with Recommender Systems.
- Experience working with TensorFlow Recommender System (TFRS) and Two Towers architecture is a plus.
- Experience with model monitoring, performance tracking, and A/B testing in production environments to ensure continuous improvement and accuracy.
- Expertise in implementing scalable and automated CI/CD pipelines for machine learning models, including model versioning and retraining workflows.
- Strong knowledge of containerization and orchestration tools such as Docker and Kubernetes.
- Experience working with Large Language Models (LLMs), such as Gemini or ChatGPT-4, to build intelligent systems (mandatory).
- Understanding of data engineering concepts, including ETL pipelines, data lakes, and big data platforms (BigQuery, Snowflake, Redshift).
- Strong teamwork and collaboration skills, with a focus on working across departments to achieve project success.
Benefits
- Meal allowance for each day worked available through meal card.
- Home/Office allowance reimbursement per calendar month, pro-rated based on employment start date.
- Health insurance: Tillster pays the premium for employee private health insurance. Employees have the option to add their spouse/dependents at the employee’s cost.
- Holidays: Up to 20 federal and local/municipal holidays in accordance with applicable Portuguese Labour laws, dependent on your employment start date.
- Vacation: Up to 22 days of vacation every holiday year, pro-rated based on employment start date.
- Education, Learning & Development: We offer Udemy Learning courses; and ongoing learning and development opportunities.
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