- Algorithm Development: Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments.
- Statistical Modelling: Apply experimental methodologies, statistics, optimization, probability theory, and machine learning to create tools, statistical models, and algorithms using general-purpose software and statistical languages.
- Insights and Optimization: Develop descriptive, diagnostic, predictive, and prescriptive insights and algorithms to improve product and system performance.
- ML and Statistical Techniques: Use techniques such as decision trees, logistic regression, Bayesian analysis, NLP, and other methods to design algorithms that enhance product quality, data accuracy, and system performance.
- Code Implementation: Translate algorithms and technical specifications into efficient, production-ready code using modern programming languages like Python
- Debugging: Implement programming practices, perform testing and debugging, and increase system efficiency.
- Documentation: Create comprehensive documentation and maintenance procedures for implemented systems and algorithms.
- Generative AI Applications: Develop and implement generative AI technologies for applications such as content generation, conversational systems, and interactive user experiences.
- Emerge Technologies: Adapt machine learning methodologies to areas like artificial intelligence, image processing, and other modern technologies to promote solutions.
- Cloud-Based Solutions: Deploy scalable solutions in cloud-based environments (e.g., AWS, Azure, and GCP).
Education: Bachelors or masters degree in computer science or a related field.
Technical Skills:
- Proficiency in machine learning and natural language processing (NLP).
- Experience with software fundamentals, data structures, and algorithms.
- Hands-on experience with CI/CD pipelines, distributed systems, and cloud-based software.
- Expertise in generative AI and building conversational systems.
- Classification systems, sentiment analysis, NLP, and entity extraction
- Computer vision, OCR, and content extraction from images, PDFs, and HTML
- 7+ years of experience with custom models and ensembles
- Experience in cloud-based environments (e.g., AWS, Azure, GCP)
- Expertise in generative AI and building conversational systems
Software Development:
Experience with object-oriented design principles, common design patterns, and best practices.
