Data Science & Engineering Lead
Tasks
- Advance NLP solutions
- Architect lakehouse solutions
- Build cloud infrastructure
- Build computer vision models
- Build streaming and batch data pipelines
- Design database models for OLTP and OLAP
- Design supervised and unsupervised ML models
- Develop ETL processes
- Develop NoSQL solutions
- Develop business intelligence dashboards
- Develop neural network architectures
- Implement GPU acceleration for model training
- Implement retrieval-augmented generation
- Lead time series forecasting and anomaly detection
- Mentor junior team members
- Oversee MLOps pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Glue | AWS Lambda | Airbyte | Amazon EC2 | Amazon SageMaker | Apache Airflow | Apache Spark | Azure Machine Learning | CUDA | CloudFormation | Computer Vision | DBT | Databricks | Deep learning | Delta Lake | DynamoDB | EMR | Elasticsearch | Great Expectations | Hugging Face | IAM | Iceberg | Kafka | Kinesis | Langchain | Language Processing | MLOps | Machine Learning | MongoDB | MySQL | Natural Language | Natural Language Processing | Neural Networks | NumPy | OpenAI | OpenCV | Pandas | PostgreSQL | PowerBI | PyTorch | QuickSight | Retrieval-Augmented Generation | SQL Server | Scikit-learn | Snowflake | Tableau | TensorFlow | Terraform | Time Series | Transformers | VPC
Education
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