Key Responsibilities
- Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch
- Strong analytical and problem-solving skills
- Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++
- Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies
- Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
- Proven ability to apply, debug, and develop machine learning models
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
- Choose suitable DL algorithms, software, hardware and suggest integration methods.
- Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
Skills and Experience
- Strong proficiency with Python, DJANGO framework and REGEX
- Good in microservice design pattern and developing scalable application
- Integration of APIs, multiple data sources and databases into one system
- Good knowledge in API Gateways and proxies, such as WSO2, Kong, nginx, Apache HTTP Server.
- 4-6 years relevant of Hands-on Experience
Qualifications
- Masters with specialisation in AI/ML
- Strong knowledge of Deep Learning and ability to identify DL algorithms as per use case requirement
- Familiar and working experience with DevOps tools like Ansible, Jenkins, Terraform