Senior AI Developer

1 week ago

Lahore, Punjab, Pakistan beBeeMachineLearning Full time
Job Description

Our team is seeking a highly skilled Senior Software Engineer to join our collaborative environment. In this role, you will be responsible for developing and maintaining scalable, secure AI and machine learning applications using Python and popular frameworks like TensorFlow and PyTorch. Your expertise in designing and implementing machine learning models and algorithms will enable the creation of innovative user interface interactions and AI-driven features.

We are looking for a professional who can integrate third-party AI/ML APIs and services into existing web applications, promote a data-driven approach, and deliver valuable AI enhancements consistently. Strong understanding of Large Language Models (LLMs) and their applications in Natural Language Processing (NLP) use cases such as writing assistance, summarization, and concept extraction is essential.

Key Responsibilities:

  1. Design and implement machine learning models and algorithms to support various AI-driven client applications.
  2. Integrate third-party AI/ML APIs and services into existing web applications.
  3. Promote a data-driven approach with a commitment to delivering valuable AI enhancements consistently.
  4. Lead and participate in NLP and computer vision model development, providing constructive feedback to foster a culture of continuous improvement among team members.
Required Skills & Qualifications

Bachelor's degree in Computer Science or a related field is required. We are seeking a candidate with at least 4 years of experience as a Machine Learning Engineer. Proficiency in Python 3.x, strong Object-Oriented Programming (OOP) skills, and familiarity with modern Python features are must-haves. Proven experience in NLP and CV is also necessary.

Essential 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 is a huge 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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