Senior Staff Engineer(Data Science)

Job Description

REQUIREMENTS:

Experience:

1. 7+ Years Hands-on experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
2. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
3. Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems.
4. 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.
5. 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.
6. Excellent problem-solving skills, with a creative and analytical mindset.
7. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
8. Experience with AI ethics and responsible AI practices.

RESPONSIBILITIES:

1. Understanding the client’s business use cases and technical requirements and able to convert them into technical design which elegantly meets the requirements.
2. Mapping decisions with requirements and able to translate the same to developers.
3. Identifying different solutions and narrowing down the best option that meets the client’s requirements.
4. Defining guidelines and benchmarks for NFR considerations during project implementation.
5. Writing and reviewing design documents explaining the overall architecture, framework, and high-level design of the application for the developers.
6. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensuring that all relevant best practices are followed.
7. Developing and designing the overall solution for defined functional and non-functional requirements; defining technologies, patterns, and frameworks to materialize it.
8. Understanding and relating technology integration scenarios and applying these learnings in projects.
9. Resolving issues raised during code/review, through exhaustive systematic analysis of the root cause, and justifying the decisions taken.
10. Carrying out POCs to ensure that suggested design/technologies meet the requirements.

Qualifications:

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.