Mesmer AI is first of a kind AI call centre which is operated by AI agents and not humans. These agents are indistinguishable from humans, operating at ultra-low latency and capable of taking actions across all your applications.
The voice agents can be spawned with a click of a button and they work 24/7/365. One can use them for following use cases:
- Customer Service
- Appointment Booking
- Lead Qualifications
About the Role
Job Overview:
We are looking for a highly skilled AI Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, deep learning, and data science, with experience in developing and deploying AI models. You will work closely with our data scientists, software engineers, and product managers to design and implement AI solutions that meet our business needs.
Key Responsibilities:
- Prompt Engineering: Develop, test, and refine prompt strategies to improve AI model interactions and responses.
- Model Development: Design, develop, and implement machine learning models, including supervised and unsupervised learning techniques.
- Data Preprocessing: Perform data cleaning, transformation, and feature engineering to prepare datasets for modeling.
- Algorithm Selection: Evaluate and select appropriate algorithms based on project requirements.
- Model Training and Evaluation: Train models using large datasets, tune hyperparameters, and evaluate model performance using metrics such as accuracy, precision and recall
- Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability.
- Documentation: Maintain thorough documentation of model development processes, code, and experiments.
Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience: Proven experience as an AI Engineer or similar role, with a portfolio of successful AI projects.
- Technical Skills:
- Proficiency in Python and SQL
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of data structures, algorithms, and software engineering principles.
- Familiarity with cloud platforms (AWS and Azure) for deploying AI models.
- Experience with Git
- Soft Skills:
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
- Ability to work independently and manage multiple projects simultaneously.