
AI/ML Solutions Architect
1 week ago
About the Role
This position is an exciting opportunity to work with a team of professionals in developing and implementing cutting-edge AI and machine learning solutions.
Key Responsibilities- Develop ML/AI Models: Utilize deep learning frameworks such as TensorFlow, Keras, or PyTorch to build models with a strong understanding of natural language processing, deep learning, and neural networks.
- Python Expertise: Leverage Python to develop and deploy AI and machine learning solutions.
- NLP Libraries: Familiarize yourself with NLP libraries like NLTK, SpaCy, and Huggingface transformers to enhance your model's capabilities.
- Generative AI: Work with generative AI models and their architectures to create innovative solutions.
- Cloud Platforms: Collaborate with cloud platforms - Azure or AWS - to deploy and manage AI and machine learning solutions.
- API Development: Expose solutions as API endpoints using ASGI frameworks such as FastAPI.
- Containerization and Orchestration: Utilize Docker and Kubernetes to deploy and manage containerized applications.
- MLOps Tools: Employ MLOps tools like Dagster, Airflow, and MLFlow to build orchestration pipelines and enable model versioning and tracking.
- Problem-Solving Skills: Demonstrate strong problem-solving skills and the ability to work independently and collaboratively in a dynamic environment.
What We Offer:
A fair, transparent, and merit-based hiring process. Beware of fraudulent offers and always verify through official channels.
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