Fullstack Python Lead
4 weeks ago
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.
Experience: 8+
Location: Bangalore/Noida
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:
- 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 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
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