Analyst, Data Science

Key Responsibilities

1. Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch
2. Strong analytical and problem-solving skills
3. Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++
4. Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies
5. Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
6. Proven ability to apply, debug, and develop machine learning models
7. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
8. Choose suitable DL algorithms, software, hardware and suggest integration methods.
9. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards

Skills and Experience

1. Strong proficiency with Python, DJANGO framework and REGEX
2. Good in microservice design pattern and developing scalable application
3. Integration of APIs, multiple data sources and databases into one system
4. Good knowledge in API Gateways and proxies, such as WSO2, Kong, nginx, Apache HTTP Server.
5. 4-6 years relevant of Hands-on Experience

Qualifications

1. Masters with specialisation in AI/ML
2. Strong knowledge of Deep Learning and ability to identify DL algorithms as per use case requirement
3. Familiar and working experience with DevOps tools like Ansible, Jenkins, Terraform