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Teddy Ambona

@teddyambona

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Senior Python AI/ML Ops Engineer

Thailand

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What I'm looking for

I am looking for fully-remote Python AI/ML Ops Engineer roles in EMEA or APAC time zones.

Senior Python AI/ML Ops Engineer with 6Y+ of experience in SaaS, LLMs, ML, cloud/web development, automation, designing battle-tested APIs (FastAPI/Flask/Django) and ETL processes. With a get-it-done attitude and the ability to work with minimal direction, I bring a wealth of knowledge to the table. Dedicated to delivering clean code as evidenced by my contributions on GitHub. Capable of fixing bugs in your complex codebase as well as building a toolchain from scratch for writing and shipping code to production through fast and efficient cycles

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Ops Engineer

Current

ZS associates

May 2024 - Present (1 year 3 months)

Focused on the development of Max.AI, a low-code/no-code GenAI platform that enables the creation of autonomous AI agents at scale. Max.AI offers enterprise-grade development tools and cloud-agnostic, pre-built use cases and agents, optimizing your agility to meet business needs.

Python Docker LLM Integrations RAG Vector Databases Lang Chain LangGraph OpenAI Models fastAPI

Senior Machine Learning Engineer

Teramind

Oct 2023 - Apr 2024 (6 months)

Teramind is a SaaS start-up commercializing a market-leading cybersecurity software, serving more than 10'000 customers. I worked async with a distributed team scattered across Americas/Europe/Asia. My role was primarily akin to an MLOps/Platform Engineer. I was responsible for developing solutions to productionize Jupyter notebooks written by data scientists

Python MLOps Engineer Docker LLM AI

Quantitative Python Developer

shell

Apr 2021 - Dec 2022 (1 year 8 months)

Power Trading Desk Analytics: Optimizing revenue through reducing power imbalances.
- Forecasting solar PV and wind turbines energy production based on sensors and third-party weather data.
- UK/European markets power price forward curves modelling
- Built a Github Actions CI/CD pipeline to improve the development workflow an productionize the code

Python Terraform Microsoft Azure Databricks SQL GitHub ML Ops Data Engineering Data Science Machine Learning

Software Engineer

Prism FP

Jul 2019 - Mar 2021 (1 year 8 months)

- Continuous deployment (Jenkins, Gitlab CI) of high quality Dockerized python code, linted (flake8, piprot) and tested (unit/integration) on a cloud-native development platform
- Implemented extensive option pricing library in python, stress tests scenarios and other key features for the trading analytics platform (SaaS)
- Microservices architecture (Flask)

Python Airflow PostgreSQL AWS APIs Kubernetes Docker Linux VMs (Vagrant VirtualBox)Helm Terraform (IaaS)Observability (Opentracing Grafana)

Data Analyst – Capital Markets

lyxor etf

Aug 2018 - Jun 2019 (10 months)

- Data pipelines owner (end to end)
- Developed a web-app from scratch with flask (blueprint, MVC, logging design patterns, front+back end)
- ETL processes in python (OO programming), Advanced SQL queries, VBA, Tableau, Batch
- UML diagrams / Version control (Git) / Agile-Rad SDLC
- Maintaining and improving the ETF Spreads monitoring tool (real-time data)

Python SQL Data Engineering Tableau VBA

Data Analyst Intern

Lyxor ETF

Jul 2017 - Dec 2017 (5 months)

- Exposure to ETF Launches / New listings, replication strategies, performance analysis
- Assisting Fund Managers and Sales with Data Analysis in Python (pandas) and VBA developments
- Big Data analysis and visualization with Tableau
- SQL DB management
- Developed python algorithms for data quality monitoring / Web scraping / Web services (flask)

Python SQL Tableau VBA Data Engineering

Cross-Asset Trader Intern

CBP Quilvest

Jan 2016 - Dec 2016 (11 months)

- Managing FX and cash positions
- Trading FX and money market instruments, equities, bonds, options, futures, funds, ETFs, Gold
- Dealing orders from direct access clients
- Troubleshooting issues with Back Office and Middle Officers
- Back testing performance of structured products with VBA

VBA