
AI-Powered Solutions Developer
1 day ago
Job Overview
We are seeking a highly skilled Machine Learning Engineer to join our team. This is an exciting opportunity for a talented individual to develop, train, and deploy AI-powered solutions using Large Language Models (LLMs) and NLP techniques.
Key Responsibilities:
- Develop and train machine learning models for predictive and classification tasks, focusing on LLMs and NLP techniques for AI-powered applications.
- Design and implement AI systems and algorithms to solve complex problems.
- Build and maintain scalable data pipelines and workflows for data ingestion, transformation, and analysis.
- Perform data preprocessing, cleaning, and feature engineering to prepare datasets for analysis.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities.
- Integrate APIs and external services, including LLMs, to enhance model capabilities and system functionality.
- Optimize AI and ML workflows for performance and scalability in production environments.
- Monitor model performance, retrain models, and manage the lifecycle of deployed solutions.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- At least 2 years of experience in ML model development and deployment.
- Experience working with LLMs and NLP techniques for developing AI-powered applications.
- Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with data preprocessing, feature engineering, and model optimization.
- Strong understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
- Experience with SQL and NoSQL databases, as well as cloud platforms (AWS, GCP, Azure).
- Ability to integrate ML models into production and optimize workflows for efficiency.
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