What are the responsibilities and job description for the ML Engineer(Python, RESTful APIs, Microservices, LORA/QLORA, TensorFlow, PyTorch, Azure) position at VHL Technologies?
Job Details
Roles & Responsibilities:
We are seeking a highly skilled Machine Learning Engineer to join our dynamic team in King of Prussia, PA. The ideal candidate will have strong experience in software development, AI/ML applications, and deploying scalable machine learning models. This is an onsite role, offering an exciting opportunity to work on cutting-edge AI/ML solutions while collaborating with a talented team of engineers and researchers.
- 8 yearsof experience in software development with at least 4 years of hands-on experience in AI/ML applications.
- Proficiency in Python, Java, or C for developing machine learning models and applications.
- Strong understanding of system design principlesand scalable architectures.
- Hands-on experience with RESTful APIsand microservices architecture.
- Exposure to fine-tuning and deploying LLMsusing LORA/QLORA techniques.
- Experience with AI/ML frameworks and libraries(e.g., TensorFlow, PyTorch).
- Familiarity with cloud platforms(preferably Azure) for deploying AI/ML applications.
- Design, develop, and deploy machine learning models and AI-driven solutions.
- Optimize and fine-tune Large Language Models (LLMs) using LORA/QLORA techniques (e.g., GPT, BERT, etc.).
- Implement and maintain scalable ML pipelines and model serving architectures.
- Collaborate with cross-functional teams to integrate AI/ML solutions into existing applications and workflows.
- Develop and maintain RESTful APIs and microservices to support ML applications.
- Work with AI/ML frameworks and libraries such as TensorFlow and PyTorch.
- Ensure system reliability, scalability, and efficiency through strong system design principles.
- Leverage cloud platforms (preferably Azure) to deploy and manage ML models and applications.
- Stay updated with the latest advancements in AI/ML technologies and best practices.
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