REQUIREMENTS:
- Experience : 10 Years
- Must have experience in Data Science Fundamentals Data Analysis & Visualization Statistics & Probability SQL Model Packaging & Deployment.
- Must have experience in cloud architect Prompt engineering RAG & Generative AI.
- Should have experience in Python or R for Data Science.
- Should have experience in Classificationregression Forecasting Unsupervised Models Recommendation Systems Natural Language processing & Optimization.
- Should have experience in Data science on AWS/Azure/GCP.
- Strong troubleshooting skills in different disparate technologies and environments.
- Should be enthusiastic about different areas of work and exploring new technologies.
- Should have clarity of thought and strong communication skills to effectively pitch solutions.
- Must have ability to explore and grasp new technologies.
- Must be capable of mentoring team members in projects and helping them keep up with new technologies.
- Should be empowering the team members to be solution providers and enable a flat environment where everyones point of view is considered and feedback is encouraged.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- 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 highlevel 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 nonfunctional 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.
- Should be open to travel onsite once a month.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Fulltime