Job Summary: We are seeking a talented and passionate AI/ML Product Engineer to join our team, focusing on the development and deployment of AI/ML-based products. The ideal candidate will work on projects related to Natural Language Understanding (NLU), Natural Language Processing (NLP), automation, and large language models (LLMs). This role will involve fine-tuning existing models, building new features, and exploring innovative product ideas that enhance and expand our product suite.
Key Responsibilities:
Design, build, and maintain AI/ML models, especially focusing on NLP, NLU, and automation use cases.
Fine-tune and optimize pre-trained models to improve performance in specific applications, leveraging advanced LLMs and similar architectures.
Collaborate with cross-functional teams to ideate, experiment, and implement new product ideas that utilize AI/ML technologies effectively.
Research and explore new advancements in AI/ML, recommending tools and techniques that can drive innovative solutions for real-world problems.
Develop and execute proof-of-concept projects to demonstrate the feasibility and value of new AI/ML ideas.
Ensure scalability and efficiency of models by conducting performance tests, evaluations, and iterations based on feedback.
Write and maintain robust code, following best practices for software development and model deployment.
Preferred Qualifications:
Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
Proven experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and language models.
Strong programming skills in Python, along with libraries such as NumPy, Pandas, and scikit-learn.
Experience with NLP and NLU techniques, including tokenization, sentiment analysis, named entity recognition, and machine translation.
Familiarity with LLMs, prompt engineering, fine-tuning, and related techniques.
Solid understanding of data preprocessing, feature engineering, and model evaluation methods.
Ability to collaborate effectively with product teams and translate business requirements into technical implementations.
Requirements and Skills :
Strong analytical and problem-solving skills.
Ability to work independently and as part of a collaborative team.
Adaptable and eager to learn new tools, techniques, and technologies.