Data Scientist / ML Engineer
Tasks
- Coordinate with data engineering and software engineering teams
- Deploy and validate AI applications
- Design AI solution architectures
- Develop machine learning solutions
- Ensure data quality and security
- Implement data pipelines and workflows
- Manage tasks using Agile Scrum
- Present findings to stakeholders
- Research and select machine learning tools and technologies
- Transform business problems into data science problems
Perks/Benefits
- Conference support
- Eye care
- Flexible work arrangements
- Integration budget
- Knowledge sharing
- Medical benefits
- Paid time off
- Remote work
- Sponsored training
- Sports package
- Team building events
- Well-being support
Skills/Tech-stack
AWS | Azure | CI/CD | Computer Vision | Databricks | Docker | Generative AI | GitHub | GitHub Actions | Hadoop | Kafka | Kubernetes | LLM | MLOps | Machine Learning | MongoDB | Multimodal Embeddings | NLP | Predictive Modeling | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | Semantic Search | Snowflake | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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