Senior AI/ML Professional

2 weeks ago

Lahore, Punjab, Pakistan beBeeDeveloper Full time

Lead AI/ML Developer

Develop and maintain advanced AI applications utilizing Python, machine learning frameworks, and cloud services.

Key Responsibilities:

  1. Design and Implement Machine Learning Models
  • Design and implement machine learning models and algorithms to support AI-driven client applications, focusing on user interface interactions and AI-driven features.
Integrate AI/ML APIs and Services
  • Integrate third-party AI/ML APIs and services into web applications.
Promote Data-Driven Approach
  • Advocate for a data-driven approach with a commitment to delivering valuable AI enhancements consistently.
NLP and Computer Vision Expertise
  • Deep understanding of LLMs for NLP use cases, including writing assistance, summarization, and concept extraction.
  • Lead NLP and computer vision model development, providing constructive feedback to foster a culture of continuous improvement.

Requirements:

  1. Python Expertise
  • Strong proficiency in Python 3.x, Object-Oriented Programming (OOP) skills, and familiarity with modern Python features.
NLP and CV Experience
  • Proven experience in Natural Language Processing (NLP) and Computer Vision (CV).
Machine Learning Knowledge
  • In-depth knowledge of essential Python libraries, including numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Transformers, and others relevant to machine learning.
Cloud and Linux Skills
  • Competence in working with cloud environments and Linux, including Lambda/Serverless, SQS, SNS, S3, and EC2.
Transformer-Based Model Deployment
  • Experience deploying Transformer-based models into production.
Software Engineering Principles
  • Proficiency in source control, code review, and repository management using Git.
  • Strong expertise in software engineering principles and design patterns.
Containerization and Microservices
  • Experience with containerization technologies like Docker.
  • Proficiency in building highly distributed, eventually consistent AI systems.
Microservices Architecture and Testing
  • Familiarity with microservices architecture and message broker systems.
  • Expertise in various machine learning testing methodologies.
Data Visualization and Monitoring
  • Knowledge of data visualization, monitoring, and alerting concepts along with relevant tooling.
Relational Databases and SQL
  • Excellent knowledge of Relational Databases, SQL, and ORM technologies such as SQLAlchemy.
LLMs Integration
  • Knowledge of LLMs, including fine-tuning and deployment integration with web applications.

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