
AI/ML Model Developer
19 hours ago
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying AI/ML models to solve real-world challenges.
Our team is looking for a talented engineer who can work with large datasets, handle data preprocessing, and conduct feature engineering to improve the quality of our models.
You will also be expected to evaluate model performance using appropriate metrics and optimize models to improve accuracy, efficiency, and robustness.
Key Responsibilities:- Design, develop, and deploy AI/ML models tailored for real-world applications.
- Work with cross-functional teams to integrate ML solutions into production systems.
- Evaluate model performance using appropriate metrics and optimize models to improve accuracy, efficiency, and robustness.
- Stay up-to-date with the latest trends and technological advancements in the ML/AI field.
- Strong experience with Python and familiarity with Python-based ML libraries such as scikit-learn, TensorFlow, and PyTorch.
- Familiarity with cloud services to deploy, scale, and manage ML models and data pipelines (e.g., AWS SageMaker, GCP AI, Azure ML).
- Excellent problem-solving and analytical skills with a solid background in statistical analysis and optimization.
- Excellent written and verbal communication skills to articulate complex technical solutions to stakeholders.
- Opportunity to work with a talented team of engineers and scientists.
- Chance to work on cutting-edge AI/ML projects and contribute to the development of innovative solutions.
- Competitive compensation and benefits package.
- Hands-on experience working with Generative AI models like GPT-3 or similar LLMs.
- Strong understanding of deep learning architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers.
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