Artificial Intelligence Engineer

Role & responsibilities

• Developing AI/ML algorithms to analyze data and to make predictions and recommendations.
• Implement and optimize deep learning models for generative tasks
• Collaborate with other engineers to integrate Generative AI models for custom applications.
• Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms.
• Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution
• Should be able to work on structured as well as unstructured data
• Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions
• Should be able to leverage cloud platforms for training and deploying models.
• Should have working knowledge of managing ModelOps framework
• Should understand CI/CD processes in product deployment and used it in delivery.
• Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy
• Should be able to take complete ownership of the assigned project

Preferred candidate profile

• Understanding of AI/ML frameworks, LLM libraries, data structures, data modelling, and software architecture.
• Proficiency with a deep learning framework such as Tensor Flow, Keras, NLP and text analytics and ML algorithms like clustering, regression, classification etc
• Proficiency with Python and basic libraries for machine learning su,ch as scikit-learn, pandas
• Experience working with recommendation engines, data pipelines and distributed machine learning
• Ability to select hardware to run an ML model with the required latency
• Great communication and collaboration skills.

AI response performance enhancement. We are only for highly senior/expert AI engineers who have experience with fine tuning answers. Our current tech stack is based on several areas:

- RAG (reranking RAG along with hybrid search, both lexical and semantic)

- Knowledge graph (neo4j)

- Produce a ranking system based on responses and place weights on AI chatbot responses. As we onboard customers, we will need to optimize all of these areas for better responses in their system.