Intelligent Systems Specialist

2 weeks ago

Lahore, Punjab, Pakistan beBeeArtificial Full time $120,000 - $200,000
AI Engineering Opportunities

We are seeking an experienced AI Engineer to join our team in developing, training, and optimizing machine learning models.

Key Responsibilities:
  • Design, train, and deploy machine learning models for real-world applications.
  • Develop and fine-tune conversational AI systems using Rasa and NLP pipelines with SpaCy or similar platforms.
  • Implement and customize large language models, including LLaMA and other transformer-based architectures.
  • Preprocess and analyze structured and unstructured datasets for AI model development.
  • Evaluate model performance and iteratively improve accuracy, efficiency, and scalability.
  • Collaborate with product managers and engineers to integrate AI models into production systems.
  • Deploy models on cloud platforms and ensure reliable operation in real-time environments.
  • Document algorithms, workflows, and processes for reproducibility and team knowledge sharing.
  • Stay updated with advancements in AI, LLMs, and NLP frameworks, applying the latest techniques to projects.
Required Skills:
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Hands-on experience with Rasa, SpaCy, and large language models like LLaMA.
  • Strong understanding of NLP concepts, including tokenization, named entity recognition, and text classification.
  • Familiarity with transformer-based architectures (BERT, GPT, or similar).
  • Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments.
  • Solid grasp of data preprocessing, feature engineering, and model evaluation.
Preferred Qualifications:
  • Proven ability to design and implement conversational AI CallBot end-to-end.
  • Experience with additional NLP frameworks like Hugging Face or OpenAI API.
  • Knowledge of MLOps practices, including model monitoring and versioning.
  • Familiarity with Docker, Kubernetes, and microservices architecture.
  • Experience working with big data tools such as Spark or Hadoop.

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