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AI Engineering Specialist
2 months ago
We are seeking a highly skilled AI Engineering Specialist to join our team at MyCareersFuture. As a key member of our organization, you will play a critical role in developing and implementing cutting-edge AI solutions that drive business growth and improve lives.
Key Responsibilities- Design and develop efficient and maintainable AI models and algorithms using best practices in software engineering.
- Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions that meet business needs.
- Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies to improve AI system performance.
- Work closely with data engineers to ensure data pipeline efficiency and accuracy, and continuously iterate and refine retrieval augmented generation (RAG) methods and processes.
- Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
- Optimize and fine-tune AI models for performance, scalability, and accuracy, and stay up to date with the latest advancements in AI and machine learning technologies.
- Present findings and insights to stakeholders and contribute to strategic decision-making, and document AI models, algorithms, and processes thoroughly.
- Prepare technical reports and presentations to communicate results and methodologies, and participate in Agile ceremonies with the team to execute on prioritized projects and features.
- 2+ years of experience in AI Engineering.
- Strong programming skills in Python.
- Familiarity with building scalable AI Solutions within a modern technology stack, including cloud services, data pipelines, database, and other necessary tooling.
- Familiarity with CI/CD and test-driven development.
- Experience in building Restful APIs for AI models.
- Familiarity with machine learning concepts, including neural networks, optimization algorithms, evaluation metrics.
- Familiarity with Retrieval Augmented Generation (RAG) techniques.
- Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
- Strong communication and collaboration skills.
- Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.
- Experience working in an Agile Methodology.
- Additional programming languages, such as TypeScript, C#, or Java.
- Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
- Experience with AWS Cloud.
- Experience with building, deploying, and managing docker images.