Hire the Top 2% of
Remote Google Ai Platform Developers
in Canada

Jatin M.

Vetted Google ai platform developer in Canada (UTC-5)

I enjoy designing, building and deploying Machine Learning solutions as an end to end scalable products. 🛰 I’ve built AI/ML capabilities from the ground up in organizations of all sizes on two continents, from Fortune 250 companies to early age startups. 🚩 I'm a Mentor and Advisor to various early stage AI startups. 👨‍🔬 I’ve spearheaded the development of high-performance, data-driven products across multiple industries, from real-time model training to AI agents powered by the latest advancements in Large Language Modes (LLMs). 🌍 𝕂𝕖𝕪 𝕀𝕟𝕟𝕠𝕧𝕒𝕥𝕚𝕠𝕟𝕤 & 𝔸𝕔𝕙𝕚𝕖𝕧𝕖𝕞𝕖𝕟𝕥𝕤: 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (Offline & Online) – U.S. Patent Filed 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 (DQM) – U.S. Patent Filed 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 for Text Generation – U.S. Patent Filed Gen𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, RAG, Vector DBs, Prompt Flows, LLMs, Function Calling 𝗡𝗲𝗮𝗿 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 Architecting 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗠𝗟𝗢𝗽𝘀 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 with millisec performance Trained numerous high-performance ML models across domains 𝕋𝕖𝕔𝕙𝕟𝕚𝕔𝕒𝕝 𝔼𝕩𝕡𝕖𝕣𝕥𝕚𝕤𝕖 & 𝕋𝕠𝕠𝕝𝕤 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 – Claude 3.5 Sonnet, Llama 3, GPT-4, Titan Text Embeddings v2 𝗔𝗜 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Azure AI Studio, Amazon Bedrock, LangChain, LangSmith, Llama Index, Hugging Face 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Python, CI/CD, AWS CDK, Serverless, API, Shell Scripting, JSON, YML 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 – Apache Spark, Hadoop, Airflow, Redshift, Oracle, Snowflake, Databricks 𝗔𝗪𝗦 – EMR, Sagemaker, Glue, DynamoDB, Aurora, Lambda, API Gateway, EC2, Fargate, ECS, ECR, Cloud Formation, Step Function, Events, Athena, S3, ALB 𝗚𝗖𝗣 – BigQuery, Cloud Functions, Google Vertex Platform, DataProc, Cloud Run 𝐖𝐞𝐛 - Streamlit, Flask, HTML, CSS, JavaScript 𝕄𝕒𝕔𝕙𝕚𝕟𝕖 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 𝔻𝕠𝕞𝕒𝕚𝕟: ~ User Personalization (Recommendation/Matching) ~ Pricing ~ Chatbots (GenAI LLM Agents) ~ Customer CLTV, Retention & Segmentation ~ Fraud Detection (Anomoly) ~ Advanced Analytics

Su S.

Vetted Google ai platform developer in Canada (UTC-8)

Senior Full Stack Developer with 10+ years of experience in scalable applications, specializing in cloud-based infrastructures. Skilled in delivering high-quality features with TypeScript, JavaScript, React, Next.js, and Node.js. Proven expertise in designing and implementing RESTful APIs and microservices, and mentoring engineering teams to foster best practices and technical excellence.

Saniasnain M.

Vetted Google ai platform developer in Canada (UTC-4)

Google Cloud Certified Professional Data Engineer and Big Data Enthusiast with 5 years of experience in designing and implementing and architecting autonomous and on-demand Cloud Data Engineering ETL pipeline solutions to load data from both batch and streaming sources into Data Warehouses, Data Lakes and Systems Migration to the Cloud. Looking for opportunities to translate my expertise and experience in Google Cloud into efficient ETL Data Pipeline and Warehouses.

Victor N.

Vetted Google ai platform developer in Canada (UTC-6)

As a team player, I am committed to understanding clients' needs and developing enterprise software systems that deliver business value. My expertise is in distributed systems, search, data persistence and DevOps. Over the past 14+ years, I have been consistent in developing enterprise systems using C# .Net, Python (Django, FastAPI, Twist, Tornado), Java (Play, Spring Boot), Javascript( Nodejs, Expressjs), Go(GoMicro, Gin). I deploy most of the solutions on clouds such as Azure, AWS and GCP, and I have strong experience working with databases such as MSSQL, MySQL, Postgres, MongoDB, Firebase, Redis, and DynamoDB. I enjoy using Terraform, Ansible or Cloudformation for Infrastructure as Code (IAC) to manage cloud-based infrastructure. I am well-versed in message brokers such as RabbitMQ, Redis, Celery, Kafka, AWS SQS, which are essential for building reliable distributed systems. I thrive in collaborative environments. If you are looking for a skilled software engineer who can help your business build modern, scalable systems, please don't hesitate to contact me.

Guichong L.

Vetted Google ai platform developer in Canada (UTC-5)

EXPERIENCE SUMMARY • 8-year work experience as Senior Data scientist for Biotechnology, market research, telecom business, automobile, network security, and 4-years work experience as AI engineer for cloud spark applications in AWS, Azure.. • Recent research and development for applications in anomaly traffic detection in CAN workflows; high level feature extraction using Bayesian variables; object detection and action classification; • Designed and implemented machine learning algorithms for churn prediction and Add a Line analysis and machine learning pipelines for telecom business analysis. • Developed advanced machine learning algorithms for text, POS outlet items, category hierarchy classification; multilabel and multitask classification algorithms/text classification/NLP; • Developed advanced machine learning regression/classification algorithms for food component analysis using chemometrics and spectroscopy; • Postdoctoral research on uniformly and unbiased sampling/crawling online social networks using advanced Markov Chain Monte Carlo techniques; developed an innovative sampling algorithm, a new coupling technique, implemented by Ruby and Rails and Twitter API, DataMapper; Unix/Linux, Amazon EC2; social media analysis using Python, NLTK, SkLearn.

Dilshod D.

Google ai platform developer in Canada (UTC-6)

Experienced software architect and passionate developer with over a decade of expertise in designing and developing cloud-based applications and mobile apps. Skilled in all phases of the software development lifecycle, including requirements gathering, project planning, development, deployment, and maintenance. Proficient in quickly understanding codebases, fixing bugs, refactoring code, and implementing new features efficiently. A strong advocate of Object-Oriented Programming and Design Patterns, ensuring scalable and maintainable solutions. Committed to writing clean, well-tested code to uphold high-quality standards. Thrives in cross-functional teams and is always open to innovative ideas and collaborative problem-solving.

Cyrille .

Google ai platform developer in Canada (UTC-3)

Dealing with technologies to ensure they help with easy-to-use and reliable applications, is where I thrive. Migrating legacy monolith applications to a cloud-native micro-service-oriented architecture while improving the operational efficiency of the overall platform is an interesting challenge. Rebuilding data engineering with ML-driven forecasting, software engineering with micro service-oriented architecture and microsites, or IT with zero-touch and software-defined perimeter as a baseline is exciting. I thrive in improving the existing via steady refactoring and balancing it with green field projects through careful consultation, deep technical knowledge as well as a very clear understanding of the strategy. All of that requires high-performing teams with the correct balance between technical expertise, business understanding, autonomy, and guidance so that they don’t react to change but rather anticipate it. After all, the end goal is always to perform better for our customers and to maximize operational efficiency. I am known to be dynamic, a fast learner and new technical challenges motivate me. I like when work is done well and I am known for my can-do attitude. Career Highlights Include: Facilitated company growth from one employee to 300+ strong, maintaining a security-focused, engineering team distributed in a few countries, responsible for a family of products related to digital identity. Created entire engineering function from the ground up including front-end, back-end, platform engineering, quality assurance, data engineering, and IT with an 18-month oversight of Product and Product Design. This led to the business being acquired. Core Competencies Include: Software Engineering & Technical Strategy | Data Engineering & Data Science | Software Development Lifecycle | Customer Centric Automation & Cloud Migration | Product Advancement & Strategy | Business Development & Agile Methods | Multi-Billion Dollar GMV | Process Improvements & Efficiencies | Security & Privacy by Design Senior Stakeholder Management | Several-Million-User PlatformsDealing with technologies to ensure they help with easy-to-use and reliable applications, is where I thrive. Migrating legacy monolith applications to a cloud-native micro-service-oriented architecture while improving the operational efficiency of the overall platform is an interesting challenge. Rebuilding data engineering with ML-driven forecasting, software engineering with micro service-oriented architecture and microsites, or IT with zero-touch and software-defined perimeter as a baseline is exciting. I thrive in improving the existing via steady refactoring and balancing it with green field projects through careful consultation, deep technical knowledge as well as a very clear understanding of the strategy. All of that requires high-performing teams with the correct balance between technical expertise, business understanding, autonomy, and guidance so that they don’t react to change but rather anticipate it. After all, the end goal is always to perform better for our customers and to maximize operational efficiency. I am known to be dynamic, a fast learner, and new technical challenges motivate me. I like when work is done well and I am known for my can-do attitude. Career Highlights Include: Facilitated company growth from one employee to 300+ strong, maintaining a security-focused, engineering team distributed in a few countries, responsible for a family of products related to digital identity. Created entire engineering function from the ground up including front-end, back-end, platform engineering, quality assurance, data engineering, and IT with an 18-month oversight of Product and Product Design. This led to the business being acquired. Core Competencies Include: Software Engineering & Technical Strategy | Data Engineering & Data Science | Software Development Lifecycle | Customer Centric Automation & Cloud Migration | Product Advancement & Strategy | Business Development & Agile Methods | Multi-Billion Dollar GMV | Process Improvements & Efficiencies | Security & Privacy by Design Senior Stakeholder Management | Several-Million-User Platforms

Armel T.

Google ai platform developer in Canada (UTC-5)

AI/ML/GenAI Leader driving innovation at the intersection of AI, Software Engineering, and Human-Centered Design, specializing in Conversational AI (NLP, LLMs, Conversation Design), Generative AI, and Cloud solutions. With a strong academic background (PhD in AI) and hands-on industry experience, I excel at transforming complex challenges into tangible business value (e.g., increase in virtual bot adoption, containment rate, customer engagement, and satisfaction). Delivery-focused AI Architect, I craft intelligent agents that leverage ML, Gen AI, RAG, and User-Product Alignment Research to deliver exceptional user experiences. Technical writer and reviewer with a passion for mentorship, I am constantly learning and giving back, whether creating versatile AI systems or guiding future generations. Certified Scrum Master, Google Cloud Machine Learning Engineer, and Oracle Cloud Generative AI Engineer, I am seeking a challenging role where I can combine my triple expertise in AI Engineering, Applied AI Research, and Mentoring to drive cutting-edge projects in ML and Gen AI.

Maaz K.

Google ai platform developer in Canada (UTC-5)

I am a seasoned mobile application developer with over 5 years of expertise in creating robust Android and iOS applications using Flutter and React Native. I have successfully led a team of 5 developers and contributed to the development of 40+ mobile applications to date. One of my significant achievements includes securing a $1.4 million investment to expand a company's e-scooter fleet from 60 to 1000 bikes and even winning a hackaton in React Native. * Meta Certified (formerly Facebook) React Native Developer. * Google Certified Project Manager and Cybersecurity.

Mark L.

Google ai platform developer in Canada (UTC-6)

Certified data scientist with 8 years of experience for a diverse clientele. Achievements include updating data streaming processes for an 18% reduction in redundancy, as well as improving the accuracy of predicted prices by 18%. Highlyskilled in data visualization, machine learning, leadership.