Data Scientist / AI Engineer
Tasks
- Architect and oversee data pipelines
- Coordinate with data and software engineering teams
- Design AI architectures
- Develop, implement, validate Machine Learning solutions
- Manage tasks within Agile/Scrum framework
- Mentor cross-functional teams
- Present findings to stakeholders
- Research and select AI tools and technologies
- Translate business needs into data science problems
Perks/Benefits
- Career growth
- Paid time off
- Personal branding support
- Remote work
- Team events
- Training and conferences
- Well-being services
- Work equipment
Skills/Tech-stack
AWS | Azure | Big Data | CD | CI | Databricks | Docker | GitHub | GitHub Actions | Hadoop | Kafka | Kubernetes | LLMs | ML Libraries | MLOps | MongoDB | Multimodal Embeddings | NoSQL | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | Semantic Search | Snowflake | Spark | TensorFlow
Education
Bachelor's | Data Science | Master's in Computer Science | Mathematics | Physics
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