I am Evert Eero, an AI & ML Engineer with 12 years of experience designing, building, and deploying intelligent backend systems and machine learning solutions. I specialize in Python backend development, MLOps, and AI model deployment at scale, and I excel at partnering with data scientists, product managers, DevOps, and frontend engineers to ship AI-driven features that align with business goals. Across Europe and beyond, I've built multilingual NLP pipelines, real-time fraud-detection systems for fintech clients, and scalable ML pipelines using Docker, Kubernetes, and AWS. I enjoy mentoring teammates, setting coding standards, and bridging the gap between research prototypes and production-ready solutions.

Evert Eero

I am Evert Eero, an AI & ML Engineer with 12 years of experience designing, building, and deploying intelligent backend systems and machine learning solutions. I specialize in Python backend development, MLOps, and AI model deployment at scale, and I excel at partnering with data scientists, product managers, DevOps, and frontend engineers to ship AI-driven features that align with business goals. Across Europe and beyond, I've built multilingual NLP pipelines, real-time fraud-detection systems for fintech clients, and scalable ML pipelines using Docker, Kubernetes, and AWS. I enjoy mentoring teammates, setting coding standards, and bridging the gap between research prototypes and production-ready solutions.

Available to hire

I am Evert Eero, an AI & ML Engineer with 12 years of experience designing, building, and deploying intelligent backend systems and machine learning solutions. I specialize in Python backend development, MLOps, and AI model deployment at scale, and I excel at partnering with data scientists, product managers, DevOps, and frontend engineers to ship AI-driven features that align with business goals.

Across Europe and beyond, I’ve built multilingual NLP pipelines, real-time fraud-detection systems for fintech clients, and scalable ML pipelines using Docker, Kubernetes, and AWS. I enjoy mentoring teammates, setting coding standards, and bridging the gap between research prototypes and production-ready solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Senior AI & ML Engineer at DeepVision Technologies
March 1, 2024 - Present
Led multilingual NLP pipelines with Python and PyTorch, exposing models via FastAPI microservices; built image classification services with TensorFlow deployed on AWS SageMaker for real-time fintech fraud detection. Collaborated with DevOps to containerize ML workflows with Docker and Kubernetes for reproducible, scalable deployment. Aligned AI features with client roadmaps, established ML monitoring with MLflow, and implemented continuous retraining pipelines. Mentored junior engineers and enforced coding standards.
Senior AI & ML Engineer at DeepVision Technologies
March 1, 2024 - Present
Developed multilingual NLP pipelines with Python and PyTorch, exposing models via FastAPI microservices and supporting frontend teams for chat-based customer support tools. Implemented image classification services using TensorFlow deployed on AWS SageMaker for real-time fraud detection in fintech applications. Containerized ML workflows with Docker and Kubernetes to ensure reproducible and scalable deployments. Partnered with product managers to align AI features with client roadmaps. Conducted model performance monitoring using MLflow and implemented retraining pipelines. Mentored junior engineers and established coding standards.
AI Engineer at NextGenAnalytics
February 1, 2024 - October 3, 2025
Designed and deployed personalized recommendation engines using PyTorch, Pandas, and Scikit-learn; built REST APIs in Flask to deliver ML predictions; developed document classification with Hugging Face Transformers to enhance fintech KYC verification. Automated ML lifecycle with CI/CD pipelines on AWS EC2, S3, and Lambda; collaborated with QA to validate pipelines. Documented workflows and led adoption workshops.
AI Engineer at NextGenAnalytics
February 1, 2024 - October 3, 2025
Designed and deployed recommendation engines with PyTorch, Pandas, and Scikit-learn to boost retail personalization dashboards. Built and maintained REST APIs in Flask to deliver ML predictions for SaaS integration. Developed document classification systems using Hugging Face Transformers for fintech clients, enhancing KYC verification accuracy. Automated ML lifecycle with CI/CD pipelines on AWS EC2, S3, and Lambda, reducing deployment cycles. Authored documentation and led workshops to support adoption by client engineering teams.
AI Engineer at Nordic DataWorks
April 1, 2021 - October 3, 2025
Built predictive models for logistics optimization using Python and TensorFlow; integrated predictions into backend via REST APIs; developed recommendation engines; deployed models as Docker/Kubernetes microservices; performed feature engineering with Pandas and NumPy; partnered with research engineers to assess new ML algorithms for production readiness.
AI Engineer at Nordic DataWorks
April 1, 2021 - October 3, 2025
Built predictive models for logistics optimization using Python and TensorFlow, collaborating with operations managers to streamline delivery and warehousing. Integrated predictions into backend systems via REST APIs, developed recommendation engines with PyTorch increasing personalization in e-commerce platforms. Deployed models as microservices with Docker and Kubernetes ensuring high availability. Performed feature engineering and statistical evaluation with Pandas and NumPy to improve model accuracy. Partnered with research engineers to evaluate new ML algorithms for production readiness.
Python Developer at Baltic Software Group
June 1, 2018 - October 3, 2025
Developed internal APIs in Python/Flask to support reporting and analytics; built ETL pipelines from SQL and CSV sources; introduced automated unit and integration tests with PyTest; collaborated with senior engineers to implement modular coding practices and robust error handling; maintained Git repositories and onboarding docs.
Python Developer at Baltic Software Group
June 1, 2018 - October 3, 2025
Developed internal APIs in Python /Flask to support reporting and analytics, cooperating with frontend teams to build dashboards with JSON endpoints. Wrote ETL pipelines for preprocessing business datasets from SQL and CSV sources. Introduced automated unit and integration tests with PyTest to ensure code reliability. Collaborated with senior engineers to follow modular coding practices and error handling strategies. Maintained repositories in Git and supported onboarding with documentation.

Education

Bachelor's Degree in Computer Science (Data Science track) at Tallinn University of Technology
September 1, 2011 - June 1, 2015
Master's Degree in Science of Artificial Intelligent at Tallinn University of Technology
January 1, 2019 - January 1, 2020
Bachelor's Degree (Data Science track) at Tallinn University of Technology
September 1, 2011 - June 1, 2015
Master's Degree in Science of Artificial Intelligent at Tallinn University of Technology
January 1, 2019 - January 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Financial Services, Retail, Transportation & Logistics