Job Description : About the Role :
We are seeking a talented AI / ML Engineer to join our innovative team. The ideal candidate will have a strong foundation in artificial intelligence and machine learning concepts, practical experience with model development, and the ability to implement end-to-end AI solutions. This role requires both theoretical knowledge and hands-on expertise to solve complex problems using data-driven approaches.
Key Responsibilities :
- Design, develop, and deploy machine learning models to address business problems
- Select appropriate algorithms based on specific use cases and requirements
- Implement data preprocessing pipelines and feature engineering techniques
- Train, evaluate, and fine-tune models using appropriate metrics and validation methods
- Optimize model performance through hyperparameter tuning and architecture adjustments
- Collaborate with data scientists, engineers, and product teams to integrate AI solutions
- Monitor model performance and implement improvements as needed
- Stay current with the latest advancements in AI / ML research and technologies
Required Skills & Qualifications :
Bachelor's degree in Computer Science, Data Science, Statistics, or related field (Master's preferred)2+ years of professional experience in AI / ML or related fieldStrong understanding of core ML concepts including :
Various learning paradigms and their applicationsDifferent types of ML problems (classification, regression, clustering)Neural network architectures and their applicationsModel evaluation metrics and performance assessmentHyperparameter optimization methodologiesProficiency in programming languages and ML frameworksExperience with data preprocessing, normalization, and feature engineeringKnowledge of similarity search systems for efficient data retrievalUnderstanding of activation functions and their impact on model performanceAbility to determine appropriate model architecture and complexityPreferred Qualifications :
Experience implementing ensemble learning methodsProficiency with various neural network architecturesUnderstanding of advanced vector search techniquesExperience with ML model deployment in production environmentsKnowledge of different learning approaches for various use casesBackground in deep learning architecture design and optimizationExperience with large-scale data processingref : hirist.tech)