AI and Machine Learning Engineer

2 days ago

Lahore, Punjab, Pakistan beBeeArtificial Full time

We're seeking a seasoned AI/ML expert to spearhead the development of innovative machine learning solutions. The ideal candidate will possess in-depth knowledge of Python, cloud platforms (AWS, Azure, GCP, Databricks), and natural language processing.

  • Develop scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks, and cloud services
  • 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.
  • Integrate third-party AI/ML APIs and services to existing web applications.
  • Promote a data-driven approach with a commitment to delivering valuable AI enhancements consistently.
  • Deep understanding of Large Language Models (LLMs) for 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.

Requirements:

  • 3+ years of experience required
  • Active coder with proficiency in Python 3.x, strong Object-Oriented Programming (OOP) skills, and familiarity with modern Python features.
  • Proven experience in Natural Language Processing (NLP) and Computer Vision (CV).
  • 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 and Linux, including Lambda/Serverless, SQS, SNS, S3, and EC2.
  • Experience deploying Transformer-based models into production.
  • Proficiency in Django or Flask is a plus.
  • Strong expertise in source control, code review, and repository management using Git.
  • Familiarity with software engineering principles and design patterns, including Dependency Injection, SOLID, Service Containers, and Providers.
  • Experience with containerization technologies like Docker.
  • Proficiency in building highly distributed, eventually consistent AI systems.
  • Familiarity with microservices architecture and message broker systems.
  • Expertise in various machine learning testing methodologies, including unit testing, integration testing, performance testing, and load testing.
  • Knowledge of data visualization, monitoring, and alerting concepts along with relevant tooling.
  • Excellent knowledge of Relational Databases, SQL, and ORM technologies such as SQLAlchemy.
  • Knowledge of LLMs, including fine-tuning and deployment integration with web applications.

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