Lead Machine Learning Engineer (Finance Tech - AI Enablement)
Tasks
- Build and optimize machine learning data pipelines
- Deploy scalable AI solutions on public cloud
- Design develop test and deploy AI software components
- Develop and deploy AI powered products
- Ensure Responsible and Explainable AI practices
- Evaluate models and run experiments
- Fine tune develop and evaluate machine learning and foundation models
- Implement model guardrails and governance
- Leverage large language model inference and similarity search
- Perform model monitoring and retraining in production
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Agentic AI | Agile | Apache Spark | Azure | Cloud Computing | Dask | Data Pipelines | Deep learning | Distributed Computing | Explainable AI | Fine Tuning | Google Cloud | Governance | Guardrails | Java | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Experimentation | Model Monitoring | Observability | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Scala | Scikit-learn | Similarity Search | TensorFlow
Education
Regions
Countries
States
Cities
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