
Igor Pontes
Senior Machine Learning Engineer | MLOps | LLMOps | GenAI
Updated 9 months ago
18+
Years Experience
12
Roles
74
Skills
5
Education
About
Experienced Senior Machine Learning Engineer | 12 Years of Proven Excellence As a seasoned Senior Machine Learning Engineer with over 12 years of comprehensive expertise, I bring a wealth of knowledge spanning software development, architecture, data analysis, and data science. My diverse skill set is highlighted by: 🚀 Proficiency in Python and C# with a robust foundation in object-oriented programming. 🔍 Expertise in analyzing extensive datasets to derive actionable insights, facilitating informed decision-making. 🛠 Seasoned in DevOps, MLOps and LLMOps, ensuring seamless integration and deployment of machine learning solutions. 🏗 Proficient in modern data warehouse architecture, optimizing data infrastructure for efficiency. 📱 Profound experience in mobile application development across platforms (iOS, Android, Cordova). ☁️ Demonstrated proficiency in constructing applications on leading cloud platforms, including Azure, AWS and GCP. 📊 Strong familiarity with Python machine learning libraries (Pandas, NumPy, Scikit-learn), R, and deep learning with TensorFlow and PyTorch. 📈 Proficiency in data science development tools such as Jupyter and RStudio. 🔄 Strong knowledge of algorithm design, microservices architecture, and databases. 🌐 Quick learner, adept at adapting to new processes and emerging technologies, with a passion for programming and data science contests. 🌍 Multilingual, fluent in English, French, and Portuguese. Technical Strengths: 🖥 Programming: Python, R, C#. 📊 Data Analysis & Manipulation: Pandas, NumPy, Seaborn, Azure Data Factory. 📈 Machine Learning: Scikit-learn, TensorFlow, PyTorch. 🤖 Natural Language Processing: NLTK, SpaCy, Stanford CoreNLP, Transformers, LangChain. 🛠 Data Visualization: Matplotlib, PowerBI. 🔧 DevOps & MLOps: Git, Azure DevOps, GitHub Actions, Kubernetes, ArgoCD (GitOps continuous delivery), Terraform. 📊 Data Science Tools: Jupyter, RStudio, Prefect (workflow orchestration), Feast (Feature Store), MLflow (Model registry, Experiment Tracking), Seldon (Inference Server), Databricks. 🖱 Database Management: PostgreSQL, SQL Server and Oracle. 🌐 Cloud Platforms: Azure, AWS, Google Cloud Platform (GCP). I am enthusiastic about contributing my expertise to companies seeking a seasoned professional in the realms of senior machine learning engineering or senior data science. Let's connect and explore how I can drive innovation and success within your organization.
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Experience (12 roles)
Senior Machine Learning Engineer
CurrentFocused at the intersection of MLOps and deploying Large Language Models (LLMs) on Kubernetes, orchestrating seamlessly. In this role at Semantic Health, later acquired by AAPC, I design and implement feature and inference pipelines, utilizing Prefect, Seldon, MLflow, and Feast for efficient model ...
Senior Machine Learning Engineer
CBC/Radio-Canada · Permanent Full-time
• Implemented end-to-end automation of feature, train, and inference pipelines for machine learning models, utilizing cutting-edge technologies. This resulted in the seamless integration of models into the production environment, enhancing efficiency and reducing deployment time. • Led and executed...
2 roles · Apr 2018 - Apr 2021
Data Scientist - Head of Marketing Intelligence
• Manage a team of researchers and analysts to design and execute qualitative and quantitative research, including determining research methods, developing research guidelines, and providing research reports. • Analyze daily, weekly and monthly reporting on usage and intervention performance using a...
Senior Software Designer
As a Software Designer, Mr. Pontes must: • analyze customer needs; • carry out the programming (“front-end” and “back-end”); • participate in the design of organic architecture; • define and evolve cloud resources in Azure; • construction of PoC (proof of concept); • creation of intuitive data visua...
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Education (5)
Cégep de Sainte-Foy
2020 - 2020
Skills: Pandas (Software)
Université Laval
2019 - Apr 2022
Grade: 4.02 IFT-7022 Natural Language Processing IFT-7020 Combinatorial optimization GLO-7050 Machine Learning in Practice GIF-7001 Digital Vision GIF-7005 Introduction to Machine Learning SIO-6051 Data Mining and Exploration GLO-7027 Big Data Analysis and Processing IFT-7025 Advanced Techniques in Artificial Intelligence Skills: Pandas (Software)
Cégep de Sainte-Foy
2019 - 2019
Skills: Pandas (Software)
Skills (74)
Certifications (20)▼
Gemini API by Google
Udacity
Transformer Models and BERT Model with Google Cloud
Udacity
DAT263x: Introduction to Artificial Intelligence (AI)
Microsoft
DAT208x: Introduction to Python for Data Science
Microsoft
Introduction to Analytical Marketing
Coursera
Generative AI Fundamentals with Google Cloud
Udacity
Machine Learning in Production (V2)
Databricks
Introduction to Generative AI with Google Cloud
Udacity
MS: Developing Microsoft Azure Solutions
Microsoft
Recommendation Systems with TensorFlow on GCP
Coursera
DAT249x: Ethics and Law in Data and Analytics
Microsoft
LLMOps: Building Real-World Applications With Large Language Models
Udacity
Academy Accreditation - Generative AI Fundamentals
Databricks
Kinaxis Hackathon 2024
Kinaxis
DAT256x: Essential Math for Machine Learning: Python Edition
Microsoft
Zero-Shot and Few-Shot Learning
Udacity
MCSD: App Builder — Certified 2016
Microsoft
Scalable Machine Learning with Apache Spark
Databricks
Software Processes and Agile Practices
Coursera
Generative AI Engineering with Databricks
Databricks
Publications (3)▼
TRABALHO INDICADO PELA JNIC - SBPC: INSERINDO ASPECTOS DE USABILIDADE E ACESSIBILIDADE NO SITE DA POSGRAP UFS ATRAVÉS DE DISPOSITIVOS MÓVEIS
JNIC - SBPC · Apr 17, 2013
POSGRAP Móvel: Portal da Pós-Graduação UFS para Dispositivos Móveis
Editora UFS · Jan 1, 2013
Noções sobre: Acessibilidade Web Móvel
Editora UFS · Jan 1, 2013
Languages (4)▼
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