Principal AI Engineer - Servicing Solutions
Goodleap- Full Time
- Expert & Leadership (9+ years)
Candidates should possess at least five years of experience in designing and building AI applications for customers and deploying them into production, along with software engineering experience in creating secure, scalable, and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI is required, and a strong understanding of natural language processing, computer vision, or other deep learning techniques is preferred. Candidates should also have familiarity with Google Cloud or any other Cloud Platform and its machine learning services, and expertise in Python, Numpy, Pandas, and various ML libraries such as XGboost, TensorFlow, PyTorch, Scikit-learn, and LangChain.
The ML Engineer will be responsible for designing, developing, and operationalizing existing machine learning models by fine-tuning and personalizing them, evaluating machine learning models and performing necessary tuning, developing prompts that instruct LLM to generate relevant and accurate responses, and collaborating with data scientists and engineers to analyze and preprocess datasets for prompt development. They will also conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance, build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform, and conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.
Provides API strategies and cloud solutions
Egen Solutions specializes in API strategies and cloud solutions to help businesses modernize and scale. They offer two main paths for application development: Rebuild, which improves existing functionalities, and Replace, which creates new applications in the cloud. Egen stands out by providing tailored digital transformation services that focus on delivering measurable ROI and quick results. Their goal is to enhance productivity and reduce operational costs for clients across various sectors, including retail and public health.