job description
Join Michael Page as an AI Engineer (LLM) and be at the forefront of cutting-edge artificial intelligence innovation. This 2-year contract role offers a unique opportunity to develop and implement advanced AI solutions, particularly in the realm of Large Language Models (LLMs). Based in the vibrant and dynamic locations of Bali, you'll collaborate with a global team to push the boundaries of AI technology.
As an AI Engineer, you will design, build, and deploy AI-driven systems that solve complex business challenges. This role is perfect for professionals passionate about AI, machine learning, and natural language processing, offering a competitive salary of $12,000 - $15,000 per month plus a 2-month bonus.
If you thrive in a fast-paced, innovative environment and want to make a significant impact in the AI space, this is the role for you. Apply now and take the next step in your AI engineering career with Michael Page.
Responsibility
- Develop and implement advanced AI solutions, focusing on Large Language Models (LLMs).
- Design and optimize machine learning algorithms for natural language processing (NLP) tasks.
- Collaborate with cross-functional teams to integrate AI solutions into business applications.
- Conduct research and experimentation to improve AI model performance and accuracy.
- Deploy AI models into production environments and monitor their performance.
- Stay updated with the latest advancements in AI, machine learning, and NLP technologies.
- Document technical processes and provide training to team members on AI tools and techniques.
- Ensure compliance with data privacy and security standards in AI development.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proven experience in AI development, with a focus on Large Language Models (LLMs).
- Strong proficiency in programming languages such as Python, Java, or C++.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras.
- Knowledge of natural language processing (NLP) techniques and tools.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI deployment.
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
- Strong communication skills to present technical concepts to non-technical stakeholders.