Job Description
Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.
REQUIREMENTS :
- Total experience : 10+ years
- Excellent working experience in designing and developing prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.
- Experience in AI / ML, with a strong focus on Natural Language Processing (NLP) and Prompt Engineering.
- Proven experience in GenAI, specifically with platforms like OpenAI.
- Expertise in cloud environments and managing AI models on the cloud.
- Proficiency in Python programming.
- Strong understanding of LLMs (Large Language Models), NLP, and AI / ML methodologies.
- Experience in Data Analysis and utilizing it to enhance prompt generation.
- Excellent leadership skills to lead teams, mentor junior engineers, and drive innovation.
- Strong verbal and written communication skills, with the ability to articulate complex concepts.
RESPONSIBILITIES :
- Writing and reviewing great quality code.
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical designs which elegantly meet the requirements.
- Mapping decisions with requirements and translating 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 documents 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 ensuring 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.
Qualifications :
Bachelor's or Master's degree in computer science, Information Technology, or a related field.
J-18808-Ljbffr
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