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- The Senior Solutions Architect will be a key member of the team responsible for designing and implementing high-performance, scalable web applications and platforms.- The ideal candidate will have 12-14 years of experience in the industry and a strong background in technologies such as JestJS, NodeJS, TypeORM, and Postgres.- Expertise in Python and a strong background in Machine Learning to design, develop, and implement cutting-edge solutions using unsupervised learning methods.- The ideal candidate will have hands-on experience with various ML algorithms and frameworks, and a solid understanding of data processing and analysis.- Moreover, experience with AWS technologies such as EKS, ECS, ECR, Fargate, EC2, Lambda, ALB, and Docker is also required, as well as expertise in Kubernetes and Terraform for infrastructure as code.- The Senior Solutions Architect will have a strong understanding of microservices architecture and the ability to design components independently.- Strong problem-solving skills and hands-on design experience are a must, as well as excellent communication skills and the ability to work with junior members of the team.- Design and implement scalable web applications and platforms using technologies such as Typescript, NestJS, Angular, NodeJS, ExpressJS, TypeORM, and Postgres- Practical experience of implementing DDD, Event Sourcing, CQRS for large scale application- Experience with AWS technologies such as EKS, ECS, ECR, Fargate, EC2, Lambda, ALB- Hands-on experience with unit and end-to-end test frameworks like Jest, Playwright- Good working knowledge of JIRA, Confluence, Git- Expertise in Kubernetes and Terraform for infrastructure as code- Expertise in Docker compose and Docker- Strong understanding of microservices architecture and ability to design components independently- Proven track record of problem-solving skills and hands-on design experience- Excellent communication skills and ability to work with junior members of the team- Develop, test, and maintain robust Python code for machine learning applications.- Implement unsupervised learning algorithms to uncover hidden patterns and insights from large datasets.- Collaborate with cross-functional teams to gather requirements and deliver scalable ML solutions.- Perform data preprocessing, feature extraction, and data augmentation to enhance model performance.- Design and conduct experiments to validate and optimize unsupervised learning models.- Utilize ML libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) to build and deploy models.- Document and present findings and insights to stakeholders in a clear and concise manner.- Stay updated with the latest advancements in machine learning and AI technologies.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.- Proven experience as a Python Developer, with a strong portfolio of ML projects.- In-depth knowledge of unsupervised learning techniques (e.g., clustering, anomaly detection, dimensionality reduction).- Proficiency in Python and ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).- Experience with data preprocessing and transformation techniques.- Strong understanding of statistics, probability, and linear algebra.- Ability to work independently and as part of a team in a fast-paced environment.- Excellent problem-solving skills and attention to detail.- Strong communication skills, both written and verbal.
Preferred Skills:
- Experience with big data technologies (e.g., Hadoop, Spark).- Familiarity with cloud platform like AWS and deploying ML models in production.- Knowledge of deep learning architectures and frameworks.- Prior experience in a relevant industry (e.g., healthcare, finance, retail).- Publications or contributions to open-source ML projects.
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