
AI Solutions Architect
2 days ago
This role is focused on the practical implementation of AI solutions, including data preparation, model training, deployment, and ongoing maintenance and optimization.
Key Responsibilities:- Design and develop machine learning systems and models.
- Research and implement appropriate machine learning algorithms and tools.
- Select and prepare datasets for training and testing.
- Train and retrain models as needed.
- Expert-level proficiency in Python with a strong understanding of its ecosystem for data science and machine learning.
- Deep understanding and practical experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Solid understanding and practical experience with classical machine learning algorithms and Predictive Analytics.
- Experience with other languages relevant to data engineering or deployment (e.g., Node.js, React.js, Java).
- Knowledge of Natural Language Processing (NLP) libraries (e.g., NLTK, SpaCy, Transformers library from Hugging Face) and computer vision (e.g., OpenCV, Pillow).
- Understanding of prompt engineering techniques for large language models.
Candidates should have 5-7 years of experience, worked on 3-4 AI/ML projects, and be involved in design, development & deploying learning models and systems.
Requirements OverviewTechnical Requirements:
- Python programming expertise
- Machine learning and deep learning frameworks knowledge
- Predictive analytics skills
Soft Skills:
- Problem-solving ability
- Communication skills
- Collaboration skills
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