Senior ML Engineer – NLP & Generative AI (On-Site Tangerang)

PT Appfuxion Consulting; Jakarta Utara; On-site; IDR 420,000,000 - 720,000,000; Full time

Benefits offered by this job

None

Job summary

PT Appfuxion Consulting Indonesia is seeking a Senior Machine Learning Engineer to join the on-site team in Tangerang. You will develop and implement ML models using pattern recognition, neural networks, and NLP, and work with the team to analyze data and improve algorithms.

You will evaluate new technologies, fine-tune LLama-based models, and collaborate with cross-functional teams to ensure successful deployment of ML solutions in production.

Qualifications

• Strong knowledge in pattern recognition, NLP, generative AI, and neural networks.
• Hands-on fine-tuning of LLM LLama models.
• Prompt engineering expertise.
• Proficiency in statistics, algorithms, and data analysis.
• Experience in developing and implementing ML models.
• Ability to evaluate and integrate new technologies.
• Strong programming skills in Python or R.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Knowledge of NLP and deep learning is a plus.
• Degree in CS, Statistics, or related field.

Responsibilities

• Develop and implement machine learning models and solutions.
• Analyze data and build statistical models to improve accuracy.
• Fine-tune and deploy LLama-based models in production.
• Evaluate new ML technologies and integrate them into projects.
• Collaborate with cross-functional teams for deployment and success.

Skills

Pattern recognitio

NLP

Generative AI

Neural networks

LLM fine-tuning

Prompt engineering

Statistics

Algorithms

Python

PyTorch

TensorFlow

Education

Bachelor's or Master's in CS/Statistics

Tools

TensorFlow

PyTorch

Job description

PT Appfuxion Consulting Indonesia is seeking a Senior Machine Learning Engineer to join the on-site team in Tangerang. You will develop and implement ML models using pattern recognition, neural networks, and NLP, and work with the team to analyze data and improve algorithms.

You will evaluate new technologies, fine-tune LLama-based models, and collaborate with cross-functional teams to ensure successful deployment of ML solutions in production.