Data Scientist / AI Engineer
Tasks
- Apply Large Language Model techniques
- Architect and oversee data pipelines
- Coordinate with data engineering and software engineering
- Deploy machine learning solutions to cloud
- Design AI solution architectures
- Develop machine learning algorithms to production
- Ensure data quality and security
- Implement machine learning solutions
- Lead and mentor cross-functional teams
- Lead machine learning solution development
- Manage tasks within Agile/Scrum
- Present findings to stakeholders
- Research test and select AI tools and technologies
- Translate business problems into data science problems
- Validate machine learning solutions
Perks/Benefits
- Career development
- Coaching
- Conference support
- Flexible work hours
- Medical benefits
- Paid time off
- Psychotherapy
- Remote work
- Sponsored training
- Sports packages
- Work equipment provided
Skills/Tech-stack
AWS | Agile | Apache Hadoop | Apache Kafka | Apache Spark | Azure | CI/CD | Computer Vision | Data Warehousing | Databricks | Docker | Generative AI | GitHub | GitHub Actions | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | MongoDB | Multimodal Embeddings | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | Optimization | Predictive Modeling | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Scrum | Semantic Search | Snowflake | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Scientist | Tech Lead
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