Mid-Level ML Engineer/Data Scientist
Tasks
- Build RAG based systems
- Build and maintain data pipelines
- Build document processing pipelines
- Collaborate with stakeholders to translate requirements
- Deploy machine learning models
- Deploy monitor and scale solutions on AWS
- Design and develop machine learning models
- Develop AI powered applications and internal tools
- Integrate LLMs into production services
- Participate in full software development lifecycle
- Provide technical consulting to client
- Work in agile team
Perks/Benefits
Skills/Tech-stack
AWS CDK | AWS Fargate | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon ECS | Amazon S3 | Apache Airflow | LLM | NLP | NoSQL | NumPy | OpenSearch | PGVector | Pinecone | Prefect | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Step Functions | Terraform | Vector embeddings | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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