Hire the Top 2% of
Remote AWS SageMaker Developers
in Canada

Laiq A.

Vetted AWS SageMaker developer in Canada (UTC-7)

\- I have strong experience Architecting and building highly scalable APIs. Lead teams, reviewed code/PRs. \- 4+ Years of experience with golang, Python, AWS, Kubernetes, Kafka, Jenkins and Prometheus. \- Have been involved in Building teams (Interviewing, Hiring and mentoring team members). \- Strong production experience working with production systems, monitoring, collecting metrics and building visualizations around those metrics. \- I have build large scale data pipelines, migrating systems from legacy systems into the cloud based systems. \- Have worked with Kafka, Prometheus, Grafana dashboards, Helm chart and Kustomize. \- Strong communication skills and have lead teams for complex projects.

Jatin M.

Vetted AWS SageMaker 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

Rashan S.

Vetted AWS SageMaker developer in Canada (UTC-4)

I am a Senior Software Engineer with 7+ years experience in Full Stack and Cloud Native Application Development using open source technologies. With years of consulting I have developed and delivered unique skills essential to successful project implementations such as mentorship, time management, converting business needs to technical requirements, effective listening, effective communication, conflict management, and working with remote and worldwide teams. My goal is always to implement best practice solutions, and conduct collaborative knowledge transfer with teammates.

Karan B.

Vetted AWS SageMaker developer in Canada (UTC-5)

Machine Learning Engineer with over 6 years of industry experience, including digital-focused roles at Rolls-Royce, and as technical lead at East Africa's largest injection mould-makers. Holds a Master's in Machine Learning from Georgia Tech. Specialized in deploying ML/AI models for predictive analysis and process optimization that solve complex business challenges. Please visit my portfolio at www.ksbcode.com.

Sahitya P.

AWS SageMaker developer in Canada (UTC-4)

Specializing in data engineering with over a decade of software engineering experience, I excel in crafting robust and efficient data systems. Recently certified as an AWS Certified Data Engineer, I bring with me a comprehensive understanding of cloud-based solutions and am committed to mentoring fellow engineers, advocating for clean coding principles and best data engineering practices. Holding a master’s degree in Computer Science from New York University and a bachelor’s degree from Sastra University, India, my passion lies in developing highly efficient systems and driving impactful innovations. Additionally, I actively contribute to open-source projects, including Apache and others

Rinat A.

AWS SageMaker developer in Canada (UTC-4)

I'm a Machine Learning Solution Architect with over 10 years of experience in the field, specializing in the Biomedical, Finance, and Manufacturing sectors. I always strive to develop solutions that prioritize the end-user's needs. Beyond my technical skills, I'm recognized for my positive attitude and reliability in managing challenging projects. I'm passionate about both sharing my knowledge and continuing to learn.

Majid N.

AWS SageMaker developer in Canada (UTC-4)

Experienced Machine Learning Engineer with a strong background in cloud technologies, deep neural networks, and computer vision. Skilled in Python and ML libraries like TensorFlow and PyTorch, with experience in AWS SageMaker and Agile environments. Demonstrated success in leading teams and implementing innovative AI/ML solutions in start-up settings. Excels in fast-paced environments, with a focus on problem-solving, adaptability, and cross-functional collaboration.

Mitch L.

AWS SageMaker developer in Canada (UTC-8)

6+ years of experience in FullStack Web/Mobile development. Procient in React and TypeScript.

Christine W.

AWS SageMaker developer in Canada (UTC-9)

Results-driven Data Scientist with full-stack experience, adept at influencing product and business decisions through data-driven insights. Entrepreneurial mindset, Medical AI enthusiast, thriving in ambiguous environments and building features from concept to deployment. Proven track record of developing and implementing machine learning solutions that drive business value.

Saad D.

AWS SageMaker developer in Canada (UTC-3)

Experience in developing and automating the operationalization of Machine Learning models using AWS SageMaker (MLOps pipelines & CI/CD pipelines) Experience leading and training MLOps developers Experienced in the latest Generative AI technologies, focusing on LLM-powered applications, including RAG, Pinecone, Amazon OpenSearch, Langchain, and Amazon Bedrock. Deep understanding of different Machine Learning core concepts and algorithms Experience in using Deep Learning frameworks (TensorFlow, Pytorch, Keras) Strong background in Python (pandas, NumPy, scikit-learn, Flask, OpenCV, nltk, FastAPI, pytest. . . ) Experience in data collection, cleaning, standardization, exploitation and visualization Committed to clean code, best practices, and optimizing performance