- Design, develop and implement advanced algorithms using image, text, audio data as well as tabular data.
- Design large-scale AI/ML systems end-to-end in a very fast-paced environment.
- Integrate AI/ML systems into existing data pipelines and systems.
- Extensive knowledge of key metrics and terms for statistical analysis and machine learning.
- Collaborate with cross-functional teams across data and engineering to come up with solutions to complex problem statements
- Act as a subject matter expert on data science topics, providing guidance and support to internal teams.
- Identify areas of improvement in existing solutions.
KEY SKILLS
- Strong experience in statistical analysis, Machine Learning and Deep Learning Techniques, particularly those related to computer version and natural language processing (NLP).
- Proven track record of deploying scalable machine learning models in real-world applications.
- Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
- Prior experience in handling very large transactional datasets across different business functions.
- A self-starter and self-motivated individual who can work independently with other teams.
- Outstanding verbal and written communication skills.
- Passion to stay updated with the latest advancements in AI, deep learning, generative AI and related system design areas.
- Lead research initiatives to explore new methodologies, tools, and technologies.
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- Required 4-10 Years of experience
- Robust proficiency in Python, with extensive experience in TensorFlow and PyTorch.
- Familiarity with key deep learning metrics and optimization techniques.
- Strong Knowledge of version control systems, particularly Git.