Senior Artificial Intelligence Specialist
3 weeks ago
We are looking for an experienced and innovative Senior AI Specialist to join our Client's team. This role requires a blend of deep technical expertise, creativity, and strategic thinking to build scalable AI solutions and optimize advanced generative models. The successful candidate will have a strong background in AI engineering and will work closely with cross-functional teams to deliver state-of-the-art AI-driven solutions. If you are passionate about cutting-edge AI technologies and have a track record of implementing AI solutions using modern tech stacks, we’d love to hear from you
Key Responsibilities:
1. AI Model Development & Optimization
- Develop efficient, maintainable code while adhering to best practices in software engineering.
- Optimize and fine-tune AI models for improved performance, scalability, and accuracy.
- Explore various retrieval strategies, such as information retrieval, nearest-neighbor searches, or knowledge graph-based approaches, to enhance generative AI models.
- Continuously refine Retrieval Augmented Generation (RAG) methods, including embedding, chunking, and search algorithm optimization through experimentation and feedback.
2. Research & Innovation
- Conduct in-depth research and analysis on retrieval techniques, language models, and generative AI methods.
- Stay current with the latest advancements in AI and machine learning technologies, and integrate new techniques and tools into existing models.
3. Collaboration & Stakeholder Engagement
- Partner with data engineers to ensure the efficiency and accuracy of data pipelines.
- Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to understand requirements and deliver AI-driven solutions.
- Present insights and findings to stakeholders, contributing to strategic decisions.
4. DevOps & Deployment
- Utilize DevSecOps tools for code deployment and version control.
- Implement automated testing and monitoring to ensure AI system accuracy and reliability.
- Leverage CI/CD processes and apply test-driven development practices for robust deployment of AI models.
5. Documentation & Reporting
- Document AI models, algorithms, and processes thoroughly to maintain transparency and reproducibility.
- Prepare technical reports and presentations to effectively communicate results and recommendations.
6. Agile Project Execution
- Participate in Agile ceremonies to execute prioritized projects and features, ensuring timely and successful delivery.
Education:
- Qualifications are evaluated on a case-by-case basis, but preferred backgrounds include fields such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, or Bioinformatics.
Requirements:
- 2+ years of experience in AI engineering.
- Proficiency in Python programming.
- Experience in building scalable AI solutions using modern technology stacks, including cloud services, data pipelines, databases, and necessary tooling.
- Familiarity with CI/CD processes and test-driven development.
- Experience in developing Restful APIs for AI models.
- Strong understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
- Knowledge of Retrieval Augmented Generation (RAG) techniques.
- Familiarity with prompt engineering techniques such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
- Excellent communication and collaboration skills.
- Strong analytical and organizational skills, capable of managing multiple projects.
Preferred Qualifications:
- Experience with Agile methodologies.
- Knowledge of additional programming languages, such as Node.js, TypeScript, C#, or Java.
- Demonstrated experience in developing and refining prompts for generative AI models, particularly in creative or text generation areas.
- Experience with AWS Cloud and building, deploying, and managing Docker images.
Interested candidate who wish to apply for the advertised position, please click on “Apply Now”. We regret that only shortlisted candidates will be notified.
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Tell employers what skills you have
Machine Learning
Pipelines
Experimentation
Algorithm Optimization
AWS
Mathematics
TypeScript
Artificial Intelligence
Software Engineering
Agile Methodologies
Agile
Python
Bioinformatics
Artificial Intelligence Application
Cloud Services
Statistics
Data Science
Java
C#
Databases
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