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Igor Pontes

Senior Machine Learning Engineer | MLOps | LLMOps | GenAI

Canada
500+ connections
Igor Pontes on LinkedIn

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.

Experience (12 roles)

AAPC · Permanent Full-time

Senior Machine Learning Engineer

Current

AAPC · Permanent Full-time

Oct 2022 - Present · 2 yrs 9 mos·Toronto, Ontario, Canada · Remote

Focused 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 ...

CBC/Radio-Canada · Permanent Full-time

Senior Machine Learning Engineer

CBC/Radio-Canada · Permanent Full-time

Apr 2021 - Oct 2022 · 1 yr 7 mos·Montreal, Quebec, Canada · Remote

• 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...

3 yrs 1 mo

2 roles · Apr 2018 - Apr 2021

Data Scientist - Head of Marketing Intelligence

Feb 2020 - Apr 2021 · 1 yr 3 mos·Quebec, Quebec, Canada

• 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

Apr 2018 - Feb 2020 · 1 yr 11 mos·Quebec, Quebec, Canada

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

Cégep de Sainte-Foy

2020 - 2020

Skills: Pandas (Software)

Université Laval

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

Cégep de Sainte-Foy

2019 - 2019

Skills: Pandas (Software)

Skills (74)

MLOpsGenerative AIAPI DevelopmentPyTorchLarge Language Models (LLM)Oracle DatabaseTest-Driven DevelopmentCloudAzurejQueryDockerKubernetesTerraformPythonMySQLGitMarkdownPandasGoogle CloudMLflowOracle DatabaseHTML5CSS3JavaScriptJavaPostmanUMLFlowPHPPostgreSQLPrefectFeastAWSAmazon Web Services (AWS)Solution ArchitectureUnified Modeling Language (UML)DatabricksData EngineeringWeb Services APIPandas (Software)Product DevelopmentPrefect Dataflow AutomationMicrosoft Power BIPostman APIMLflowSQL Server Reporting Services (SSRS)JavaPandasPythonCloudAzureAWSPandasscikit-learnTensorFlowRStudioMicroservices ArchitectureSeabornNLTKspaCyTransformersLangChainMatplotlibGitGitHubKubernetesArgoCDTerraformPrefectFeastPostgreSQLMySQLOracle CloudGoogle Cloud
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)
French(Full professional proficiency)Portuguese(Native or bilingual proficiency)English(Full professional proficiency)Spanish(Limited working proficiency)

Frequently Asked Questions

What is Igor Pontes's current role?
Igor Pontes is currently working as Senior Machine Learning Engineer at AAPC · Permanent Full-time.
Where did Igor Pontes study?
Igor Pontes studied Deep learning at Cégep de Sainte-Foy. They have 5 education entries on their profile.
What skills does Igor Pontes have?
Igor Pontes's top skills include MLOps, Generative AI, API Development, PyTorch, Large Language Models (LLM). They have 74 skills listed on their profile.
Where is Igor Pontes based?
Igor Pontes is based in Canada.

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