Fullstack Lead

Roles and Responsibilities:

• We are seeking a highly skilled Full Stack Lead with Python skills 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.

Key Responsibilities:

• Design and implement scalable web applications and platforms using technologies such as Typescript, NestJS, Angular, NodeJS, ExpressJS, TypeORM, and Postgres
• Good understanding of web and REST API design patterns
• Experience with AWS technologies such as EKS, ECS, ECR, Fargate, EC2, Lambda, ALB will be an added advantage
• Hands-on experience with unit test frameworks like Jest
• Good working knowledge of JIRA, Confluence, Git
• Basic knowledge of Kubernetes and Terraform for infrastructure as code
• Basic knowledge of Docker compose and Docker
• Strong understanding of microservices architecture and ability to implement components independently
• Proven track record of problem-solving skills
• Excellent communication skills
• 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.

Required Qualifications:

• Bachelors or Masters 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 Qualifications:

• 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.

Primary Skill:

• Full stack + Python + AI/ML