
Senior AI Model Developer
1 day ago
We are seeking an experienced AI/ML Engineer to join our team. The ideal candidate will have a strong background in machine learning, deep learning, and NLP, with expertise in designing, developing, and deploying end-to-end AI/ML models.
About the Role
The Senior AI/ML Engineer will be responsible for leading the development of AI-powered solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. The successful candidate will also be expected to work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
Key Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications.
- Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems.
- Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.
- Optimize model performance using hyperparameter tuning and model evaluation techniques.
- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks.
- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
- Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Ensure scalability, performance, and efficiency of AI/ML solutions.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Strong experience in machine learning, deep learning, NLP, and AI model development.
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
- Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
- Strong problem-solving, analytical, and communication skills.
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