NLP-Focused AI Engineer: Build Scalable AI & Chatbots

TECHNIX INDIA

New South Wales

On-site

AUD 90,000 - 120,000

Full time

14 days+
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Job summary

TECHNIX INDIA in New South Wales is seeking an AI Specialist/Engineer/Researcher to develop cutting-edge AI solutions. The role involves researching, developing, and implementing AI-based algorithms, especially in Natural Language Processing (NLP). Candidates should hold a Bachelor's or Master's degree in Computer Science or related fields with at least 2 years of experience in NLP model development, strong Python programming skills, and familiarity with machine learning and deep learning frameworks. Short-notice availability is preferred.

Qualifications

  • At least 2 years of experience in developing and implementing NLP models.
  • Ability to work independently and as part of a team.
  • Experience in building chatbots or virtual assistants.

Responsibilities

  • Build and maintain NLP models for various business applications.
  • Develop and implement machine learning algorithms for NLP tasks.
  • Collaborate with cross-functional teams to solve complex business problems using NLP techniques.

Skills

NLP models development
Machine learning algorithms
Strong programming skills in Python
Experience with NLP libraries
Deep learning frameworks
Communication and problem-solving

Education

Bachelor's/Master's degree in Computer Science or related field

Tools

NLTK
spaCy
Gensim
Scikit-learn
TensorFlow
PyTorch
Keras
Hadoop
Spark
Cassandra
AWS
Azure

Job description

TECHNIX INDIA in New South Wales is seeking an AI Specialist/Engineer/Researcher to develop cutting-edge AI solutions. The role involves researching, developing, and implementing AI-based algorithms, especially in Natural Language Processing (NLP). Candidates should hold a Bachelor's or Master's degree in Computer Science or related fields with at least 2 years of experience in NLP model development, strong Python programming skills, and familiarity with machine learning and deep learning frameworks. Short-notice availability is preferred.
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