Senior Artificial Intelligence Engineer

3 days ago

Lahore, Punjab, Pakistan beBee Careers Full time
Job Overview

As a Machine Learning Engineer, you will play a key role in developing and maintaining scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud services.

You will design and implement machine learning models and algorithms to support various AI-driven client applications, with a focus on user interface interactions and AI-driven features.

We integrate third-party AI/ML APIs and services to existing web applications.

Promoting a data-driven and machine learning approach with a commitment to delivering valuable AI enhancements consistently is key to our success.

A deep understanding of Large Language Models (LLMs) is crucial, as we focus on a wide variety of Natural Language Processing (NLP) use cases including writing assistance, summarization, and concept extraction.

Lead and participate in NLP and computer vision model development, providing constructive feedback to foster a culture of continuous improvement among team members.

Key Responsibilities
  • Develop and maintain scalable, secure AI and machine learning applications using Python, TensorFlow, and PyTorch
  • Design and implement machine learning models and algorithms for AI-driven client applications
  • Integrate third-party AI/ML APIs and services into existing web applications
Requirements
  • Bachelor's degree in Computer Science or related field
  • At least 4 years of experience as a Machine Learning Engineer
  • Proficiency in Python 3.x and strong Object-Oriented Programming skills
  • Familiarity with modern Python features
  • Proven experience in Natural Language Processing (NLP) and Computer Vision (CV)
Preferred Skills
  • In-depth knowledge of essential Python libraries such as numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Transformers, and others relevant to machine learning
  • Competence in working with cloud environments (AWS, Azure, GCP, Databricks) and Linux, including Lambda/Serverless, SQS, SNS, S3, and EC2
  • Experience deploying Transformer-based models into production
  • Proficiency in Django or Flask

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