Senior AI Engineer
Job Details
Skills And Tools:
Job Description
We are looking for an Expert in Large Language Models with a strong background in Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Computer Vision (CV), and delivering AI as a Service (AIaaS) solutions. Proficiency in Python is required to develop, implement, and optimize cutting-edge AI models for various applications.
Key Responsibilities:
- Develop and fine-tune large-scale machine learning models, particularly LLMs.
- Design and deploy AI-driven solutions using deep learning techniques.
- Work with NLP to create advanced language models and applications.
- Collaborate on computer vision projects.
- Implement AIaaS solutions tailored to client needs.
- Continuously monitor and improve the performance of deployed AI models.
Job Requirements
Experience:
- 3 to 7 years of hands-on experience in developing and implementing solutions using Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technologies.
- Proven experience in developing and deploying ML/DL models in production environments.
Technical Skills:
- Proficiency in a programming language commonly used for large language models (LLM), such as Python.
- Experience with machine learning and deep learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong understanding of algorithms and techniques related to NLP (Natural Language Processing), computer vision, and data classification and analysis.
- Ability to build predictive models, analyze performance, and fine-tune models for optimal results.
Learning and Adaptability:
- Quick learner with the ability to stay up-to-date with the latest advancements and technologies in AI, ML, and DL fields.
- Capable of understanding and implementing new applications effectively to improve performance and solve complex problems.
Educational Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or a related field. A Master’s degree is a plus.
- Professional certifications in AI or ML (e.g., Google AI Certification, Microsoft Azure AI Engineer) are an added advantage.
