Data Scientist / Machine Learning Engineer

Summary

I am a highly self-motivated and effective communicator concerned with delivering above expectations.

I have extensive hands-on experience with design, execution, validation, deployment, and delivery of technical solutions.

In addition to leading small teams of software engineers, I have lots of direct experience building production-grade enterprise solutions as a data scientist, software engineer, and machine learning engineer for industry-leading Financial Services organizations across Insurance and Banking & Capital Markets (e.g., global asset management firm with $1.2T in AUM, top-4 commercial bank, top-4 P&C insurer).

For such companies, I have built:
- Machine learning models from scratch using NumPy, TensorFlow, and PyTorch.
- Fine-tuned transfer models for specific use cases
- AI-backed applications utilizing combinations of transfer-learning, self-built models, and other proprietary code.
- Python-based front-end solutions (i,e., Gradio, Dash)
- End-to-end ML pipelines for ETL (data ingestion, validation, pre-processing), model training, and model inference.
- Event-driven microservice architectures for large scale, enterprise AI (model registry, feature builder, event listener, orchestrator) designed to process real-time data streaming between Redis, Kafka, and Elasticsearch.
- Core components of enterprise SDK libraries (to power the above-listed microservices).
- Bespoke reporting solutions integrating between company CRMs, and internal and external databases.
- Custom solutions for identifying and reconciling discrepancies between company ABOR and IBOR systems.
- Custom BLPAPI applications for capturing and processing real-time tick data via Bloomberg's market data stream (B-PIPE).
- Numerous POCs for various internal initiatives
- more ...

I also have a slew of certificates: TensorFlow Developer, Snowflake SnowPro Core, MongoDB SI Associate, three dozen more from online learning platforms (Deeplearning.AI, Google Cloud, Coursera, Udemy, CloudAcademy, etc).

Expectations

A strong team with intelligent, capable and dedicated members. Team leaders with solid technical experience and ability who are also highly organized and know how to manage projects and people such that both are nurtured. A company that genuinely values employee growth and development.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Python
• TensorFlow
• PyTorch
• FastAI
• Keras
• Scikit-Learn
• TFX
• TFDV
• Weights&Biases
• OpenCV
• PIL
• PyOD
• Pandas
• NumPy
• Snowflake
• SQL
• RDBMS
• Postgres
• PgAdmin
• SQLAlchemy
• Alembic
• PySpark
• FastAPI
• Starlette
• Postman
• Pytest
• Pydantic
• Confluent
• Kafka
• Redis
• Elasticsearch
• Gradio
• Dash
• Power BI
• Plotly
• QGIS
• GDAL
• GeoPy
• GeoPandas
• Rasterio
• Fiona
• Jupyter
• Conda
• AWS
• SageMaker
• EC2
• S3
• Lambda
• Step Functions
• GCP
• Google Cloud
• VertexAI
• BigQuery
• MongoDB
• Docker
• Jenkins
• GitHub
• Bloomberg API
• BLPAPI
• Jira
• Confluence
• MLOps
• OpenAI
• HuggingFace
• Computer Vision
• NLP
• Anomaly Detection
• AI
• ML
• Deep Learning
• Data Science
• Software Engineering
• Machine Learning Engineering