REQUIREMENTS:
- Experience: 13+ Years
- Strong interpersonal and communication skills for effective client interaction.
- Experience in designing and implementing data science solutions.
- Proficiency in data visualization tools and strategies.
- Strong programming skills in Python, R, or Scala.
- Expertise in data manipulation and transformation.
- Proficiency in statistical analysis techniques.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Knowledge of generative AI techniques.
- Experience with retrieval-augmented generation techniques.
- Proficiency in using LangChain and LlamaIndex.
- Strong understanding of machine learning and data mining techniques.
- Excellent problem-solving and analytical skills.
- Strong verbal and written communication skills.
- Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
RESPONSIBILITIES:
- Understanding the client’s 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 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.
