We're looking for an experienced AI/ML Developer Level II to join our growing engineering team. If you're passionate about Conversational AI, Natural Language Processing (NLP), and building enterprise-grade virtual assistants, this is an exciting opportunity to work with cutting-edge AI technologies in a collaborative and innovative environment.
What You'll Do
- Design, develop, and maintain advanced conversational AI solutions using the RASA framework.
- Build intelligent chatbots and virtual assistants capable of delivering scalable, production-ready experiences.
- Develop clean, efficient Python applications, custom actions, and backend integrations.
- Train, evaluate, and optimize NLP models to improve intent recognition, entity extraction, and dialogue management.
- Deploy and manage AI solutions on Google Cloud Platform (GCP) using services such as GKE, Cloud Run, Vertex AI, and Dialogflow.
- Collaborate with cross-functional teams to deliver reliable, high-quality AI solutions.
- Contribute to CI/CD pipelines, MLOps best practices, and continuous model improvement.
What We're Looking For
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in AI/ML development.
- At least 2 years of hands-on experience building and deploying production chatbots using RASA.
- Strong proficiency in Python and software engineering best practices.
- Experience with Google Cloud Platform (GCP), including services such as GKE, Cloud Run, Cloud Storage, Cloud Build, IAM, and Vertex AI.
- Strong understanding of NLP concepts, including intent classification, entity recognition, and context management.
- Experience with machine learning libraries such as scikit-learn, spaCy, or Transformers.
- Proficiency with Git and collaborative development workflows.
Nice to Have
- Experience with CI/CD pipelines and MLOps practices.
- Knowledge of Docker, Kubernetes, and Terraform.
- Experience working with BigQuery for conversational analytics.
- Google Cloud certifications, particularly Professional Machine Learning Engineer.
- Experience with Dialogflow or hybrid conversational AI architectures.
What Makes You a Great Fit
- Strong analytical and problem-solving skills.
- Ability to take ownership of projects from design through deployment.
- Excellent communication and collaboration skills.
- Experience working in Agile environments.
- Passion for emerging AI technologies and continuous learning.
If you're excited about building intelligent conversational experiences and working with modern AI and cloud technologies, we'd love to hear from you.
