Senior Applied Machine Learning Engineer

LVT (LiveView Technologies) is a company focused on innovative security and monitoring solutions. The Senior Applied Machine Learning Engineer will be responsible for designing and implementing machine learning systems, guiding the team on ML problem suitability, and making recommendations to enhance business value through ML technologies.

Responsibilities:

• Lead, design, implement, and improve ML and AI solutions leveraging LLM’s, VLM’s, and Agentic AI
• Explore and research new and emerging ML technologies for the company
• Share insight into which types of problems are most appropriate for machine learning
• Provide guidance on distributed training and data collection
• Create solutions that are optimized to combine Edge IOT devices and Cloud Services
• Work in a multidisciplinary team
• Facilitate a culture of innovation, transparency, and clear communication
• Write and review technical documents, including requirements and design documents

Requirements:

• 7+ years of professional software development experience, including 5+ years creating and shipping production-level Machine Learning solutions
• 2+ years of experience specifically deploying solutions leveraging Large Language Models (LLMs) and Vision-Language Models (VLMs)
• 1+ years of experience building Agentic AI applications
• Expert proficiency in one or more programming languages (e.g., Python, C/C++, Java) and familiarity with open-source technologies
• Deep understanding and practical experience with supervised, unsupervised, and reinforcement learning methods for prediction and optimization
• Experience with ML frameworks such as TensorFlow, PyTorch, or Keras, including the ability to select the optimal model for business applications
• Experience with Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic's MCP, Google's A2A, etc
• Solid experience with applied data science methods, data structures, and algorithms
• Expertise in ML training data collection, wrangling, and optimizing/tuning high-dimensionality data
• Experience with Linux/Unix environments and source control systems (Git)
• Familiarity with cloud-based development platforms (e.g., AWS, Azure)
• Ability to work independently on ambiguous problems while maintaining a highly collaborative, team-player attitude
• Excellent written and verbal communication skills for technical and cross-functional teams
• Experience with Neural Network optimization (e.g., quantization, compression, distillation)
• Experience with Container ecosystems (e.g., Docker, Kubernetes)
• Experience in areas like search, ranking, computer vision, recommendation systems, or multi-modal/multi-sensor fusion
• Evidence of thought leadership (e.g., patents, published papers) and experience presenting/visualizing results to business audiences