Job Description

We are seeking a highly motivated and experienced Prompt Engineer having mostly worked in the NLP domain to join our growing GenAI team. You will play a crucial role in developing Gen AI based solutions for our customers. You will collaborate with cross-functional teams, including data scientists, engineers, and product managers, to understand user requirements, design appropriate prompts, and continuously improve model performance. Responsibilities: Collaborate with product managers, designers, and subject matter experts to understand requirements and desired output. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Experiment and document best practices for writing prompts for a wide range of scenarios and tasks relevant to our customers: internal and external. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Develop interactive tools that enable stakeholders to test prompts for their use cases. Create end to end prototypes and POCs to solve and demo different use cases. Desired Skills: Minimum 5 years industry experience. At least 3 years of relevant experience in NLP & data science: data processing, building and evaluating ML & NLP models. End to end implementation, deployment and productionalization of NLP machine learning model for a client project. Implementation of GenAI prompt engineering LLM model for a client project Degree in Computer Science, Artificial Intelligence, or a related field. Experience working with OpenAIs GPT models or other large language models. Proficiency in Python and experience with NLP techniques and tools (e.g., Transformers, Hugging Face, NLTK, spaCy, TensorFlow, PyTorch). Excellent communication skills with the ability to explain technical concepts and create high-quality documentation to a variety of audiences Strong problem-solving skills and a creative mindset. Ability to work independently and collaboratively in a team environment. Good To have: Experience with Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications. Experience working with cloud technologies Experience in Deep Learning Experience in MLOps and its related technologies.

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