
AI Development Specialist
1 week ago
In this role, you will design and develop AI-powered solutions using Large Language Models (LLMs) and NLP techniques. As a Machine Learning Engineer - AI Solutions, you will work closely with cross-functional teams to understand requirements and deliver impactful solutions. This role requires a strong background in machine learning, deep learning, and statistical modeling, as well as experience with data preprocessing, feature engineering, and model optimization.
Main Responsibilities
- Develop, train, and deploy machine learning models for predictive and classification tasks, with a focus on LLMs and NLP techniques for AI-powered applications.
- Design and implement AI systems and algorithms for solving 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.
Requirements
- 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 Large Language Models (LLMs) and natural language processing (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).
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