REQUIREMENTS:
- Total experience 10+ years
- Extensive experience in Python for Data Science, Machine Learning Fundamentals, Data Analysis & Visualization, SQL.
- Strong working experience in Microservices architecture (MSA).
- Hands on Experience in ChatGPT, Generative AI, Prompt engineering & Data modelling.
- Good working experience in NLTK, Machine Vision, Natural Language processing, Data Pipeline.
- Strong experience in Video Analytics, Cloud architecture, Google BigQuery, Kubernetes.
- Strong experience in Cloud development & Machine Learning Solution Design.
- Hands on experience in Machine Learning on AWS/Azure.
- Experience on TensorRT/TFLite
- 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 everyone’s point of view is considered, and feedback is encouraged.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding the client’s business use cases and technical requirements and be able to convert them in to 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 client’s 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
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.