
AI Model Operations Specialist
1 day ago
Transforming Business with AI and Machine Learning
Our organization is seeking an experienced professional to assume the role of AIML Operations Engineer. The ideal candidate will possess a strong foundation in machine learning, AI, and software engineering.
Key Responsibilities:
- Data Management: Prepare, clean, and process large datasets; build and maintain data pipelines.
- Model Development: Develop and implement machine learning models for various applications (classification, regression, clustering, recommendations, etc.).
- Model Optimization: Engineer features and optimize model performance through hyperparameter tuning and validation.
- CICD Pipeline: Automate model building, training, and deployment by building CI/CD/CT Pipelines.
- Professional Growth: Stay updated on new tools and techniques in machine learning and AI.
Required Skills and Qualifications:
- Education: Bachelor's or Master's in Computer Science, Engineering, Mathematics, Statistics, or related field.
- Experience: 3-5 years of hands-on experience in AI/ML engineering and Python, with a demonstrable focus on building production-ready models.
- Technical Skills: Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG).
- Cloud Experience: Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform.
- MLOps Expertise: Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
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