AI Engineering Lead

2 days ago

Lahore, Punjab, Pakistan beBeeMachineLearning Full time $100,000 - $150,000
Senior Machine Learning Expert

We are seeking a highly skilled and experienced Senior Machine Learning Expert to join our team.

As a key member of our engineering team, you will be responsible for developing and maintaining scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks such as TensorFlow and PyTorch, and cloud services.

Key responsibilities include designing and implementing machine learning models and algorithms to support various AI-driven client applications, with a focus on user interface interactions and AI-driven features.

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

Promote a data-driven and machine learning approach with a commitment to delivering valuable AI enhancements consistently.

Deep understanding of Large Language Models (LLMs) is required, focusing on a wide variety of NLP use cases including writing assistance, summarization, and concept extraction.

Qualifications
  • Bachelor's degree in Computer Science or a related field.
  • Proven experience as a Machine Learning Engineer with at least 4 years of experience.
  • Active coder with proficiency in Python 3.x, strong Object-Oriented Programming skills, and familiarity with modern Python features.
Required 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 such as 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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