Ai Engineer
Ai Engineer
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Job Description
Job Title : Ai Engineer
Location : Remote
Job Type : Fulltime
Mandatory Skills: ML Engineering. Model Evaluation Feedback Loops Text2SQL AI Orchestration VectorDB LLM Integrations Embedding/Chunking Strategies Prompt Eng in Production
Detailed Job Description
Job Overview:
We are seeking a skilled AI Engineer to join our dynamic team. This role focuses on integrating AI models into production optimizing machine learning workflows and creating scalable AIdriven systems. The ideal candidate will have strong experience with Machine Learning Engineering model evaluation techniques feedback loop creation and integrating advanced technologies such as Large Language Models (LLMs).
The AI Engineer will also work on designing and implementing AI orchestration pipelines with a special emphasis on prompt engineering vector databases and embedding strategies for efficient data handling and processing.
Key Responsibilities:
- Machine Learning Engineering:
- Develop train and deploy ML models ensuring they are optimized for production environments.
- Create and maintain automated feedback loops to enhance model accuracy and performance.
- Implement ML pipelines for continuous evaluation and refinement of models in production.
- AI Orchestration & Integration:
- Integrate Large Language Models (LLMs) into business applications.
- Build AI orchestration systems to manage the endtoend lifecycle of AI models including deployment and scaling.
- Work with Vector Databases (VectorDB) to store and query highdimensional data for AI applications.
- Model Evaluation & Feedback Loops:
- Set up evaluation metrics and processes to assess model performance over time.
- Create feedback loops using realworld data to improve model reliability and accuracy.
- TexttoSQL & Generative AIdriven Solutions:
- Develop GenAIdriven TexttoSQL solutions to automate database queries based on natural language input.
- Optimize GenAI workflows for database interactions and information retrieval.
- Embedding/Chunking & Prompt Engineering:
- Design and implement embedding and chunking strategies for scalable data processing.
- Utilize prompt engineering techniques to finetune the performance of AI models in production environments.
Required Qualifications:
- Bachelors or masters degree in computer science AI Machine Learning or a related field.
- Proven experience in building deploying and maintaining ML models in production environments.
- Proficiency in programming languages like Python and frameworks such as TensorFlow PyTorch or similar.
- Familiarity with LLMs VectorDB embedding/chunking strategies and AI orchestration tools.
- Strong understanding of model evaluation techniques and feedback loop systems.
- Handson experience with TexttoSQL and prompt engineering methodologies.
- Knowledge of cloud platforms (AWS) and containerization tools (Docker Kubernetes).
Employment Type
Full Time
