• 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.

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.
• Ability to use Cursor AI

• 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 OpenAI’s 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.