Staff Engineer (Machine Learning Tableau)

Job Description

REQUIREMENTS:

1. Experience: 6+ Years
2. Proficiency in developing and implementing machine learning models.
3. Experience in creating data visualizations using Tableau.
4. Experience in conducting research on generative AI techniques.
5. Strong understanding and experience with natural language processing techniques.
6. Knowledge of retrieval-augmented generation methods.
7. Expertise in data preprocessing and feature engineering.
8. Experience in evaluating and optimizing machine learning models.
9. Proficiency in deploying and integrating machine learning models into production environments.
10. Excellent problem-solving and analytical skills, with the ability to work with complex datasets.
11. Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
12. Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

RESPONSIBILITIES:

1. Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
2. Mapping decisions with requirements and be able to translate the same to developers.
3. Identifying different solutions and being able to narrow 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 document explaining 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 ensure that all relevant best practices are followed.
7. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
8. Understanding and relating technology integration scenarios and applying these learnings in projects.
9. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
10. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

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