Job Description

REQUIREMENTS :

- Total experience : 6+ 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.