REQUIREMENTS:
- Experience: 5 Years
- Strong working experience in machine learning with a proven track record of delivering impactful solutions in NLP machine vision and AI.
- Proficiency in programming languages such as Python or R and experience with data manipulation libraries (e.g. Pandas NumPy).
- Strong understanding of statistical concepts and techniques and experience applying them to real-world problems.
- Strong programming skills in Python and proficiency in deep learning frameworks such as TensorFlow PyTorch or JAX as well as machine learning libraries such as scikit-learn.
- Practical experience with Generative AI frameworks such as GANs VAEs prompt engineering and retrieval-augmented generation (RAG) and the ability to apply them to real-world problems.
- Excellent problem-solving skills with a creative and analytical mindset.
- Strong communication and teamwork skills with the ability to work effectively in a team environment and interact with stakeholders at all levels.
- Experience with AI ethics and responsible AI practices.
RESPONSIBILITIES:
- Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture framework and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies patterns and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time