About the Role
We are looking for an experienced and forward-thinking AI/ML Solution Architect to lead the design, development, and implementation of intelligent solutions across web, mobile, and enterprise platforms. In this role, you’ll apply your expertise in AI/ML, Natural Language Processing (NLP), and cloud platforms to build scalable and innovative solutions that solve real-world business challenges.
You’ll work at the intersection of technology and strategy - collaborating with cross-functional teams to define architecture, experiment with cutting-edge tools, and mentor others along the way.
Key Responsibilities
- Solution Design: Architect scalable and robust AI/ML systems by integrating software engineering best practices with modern AI technologies.
- AI Assistant Development: Build and integrate AI virtual assistants using platforms such as Google Dialogflow, OpenAI GPT, and Azure Bot Services.
- Cloud Expertise: Leverage Google Cloud Platform services (including serverless compute, Cloud Firestore, and AI APIs) for scalable model deployment.
- Model Lifecycle Management: Design, train, evaluate, deploy, and version ML models -particularly with TensorFlow - for use cases including NLP and computer vision.
- Image & Text Processing: Implement solutions using tools like OpenCV for image analysis and NLP libraries for sentiment analysis, NER, and text classification.
- Rapid Prototyping: Experiment with new ML architectures and validate approaches through agile prototyping and testing.
- Collaboration: Translate business requirements into AI/ML deliverables by working closely with product managers, engineers, and data scientists.
- Mentorship & Leadership: Guide junior engineers and data professionals, promoting a culture of continuous learning and technical excellence.
- Innovation-Driven Development: Continuously explore emerging technologies in AI, machine learning, and LLM ecosystems, applying them to practical use cases.
Required Qualifications
- 8+ years of professional experience in software development or architecture
- At least 2+ years of hands-on experience in AI/ML, NLP, or Data Science projects
- Strong experience designing and implementing AI-powered solutions in production
- Proficiency with Python (essential); familiarity with .NET is a plus
- Experience building and deploying models using TensorFlow or similar frameworks
- Practical experience with cloud services, especially GCP and Azure
- Familiarity with serverless architectures (Google Cloud Functions, Azure Functions)
- Experience with data synchronization tools like Firebase Cloud Firestore
- Hands-on expertise in computer vision or image analysis using OpenCV or similar