Remote Data Scientist

Logo of Tillster

Tillster

📍Remote - Worldwide

Job highlights

Summary

Join our team as a Data Scientist in Portugal and contribute to the development of AI-powered decision-making systems, enhancing our Recommender System and making smarter decisions based on complex data inputs.

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

Responsibilities

  • 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

Preferred Qualifications

  • Experience with multi-tenant ML platforms, serving models to multiple clients with different data and needs (preferred)
  • Familiarity with DevOps and cloud infrastructure, especially utilizing serverless technologies such as GCP Functions or AWS Lambda
  • Experience working with natural language processing (NLP) or computer vision models in production

Benefits

  • 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
  • Meal allowance for each day worked available through meal card
  • Home/Office allowance reimbursement per calendar month, pro-rated based on employment start date
  • Education, Learning & Development: We offer Udemy Learning courses; and ongoing learning and development opportunities

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.

Similar Remote Jobs

Please let Tillster know you found this job on JobsCollider. Thanks! 🙏