Job Description:

We are looking for a skilled AI/ML Engineer to join our dynamic team, focusing on the design and development of innovative generative AI solutions. This role emphasizes the creation and optimization of applications that utilize large language models (LLMs), Retrieval-Augmented Generation (RAG) systems, and vector databases. You will collaborate with various teams, including data scientists and engineers, to effectively deploy generative AI technologies that tackle real-world challenges. The successful candidate will be responsible for developing efficient data embedding pipelines, managing vector storage solutions, implementing RAG frameworks, and fine-tuning LLMs to align with diverse project requirements. Additionally, your contributions will extend to enhancing AI system security, optimizing performance, and developing user-friendly query interfaces.

IT Languages:

• Python
• JavaScript
• TypeScript

As an AI/ML Engineer, you will undertake a variety of responsibilities aimed at harnessing the power of generative AI technologies.:

Generate embeddings for unstructured data and manage storage in vector databases like ChromaDB or Pinecone.;; Automate processes to ensure embeddings are continually updated with new data.;; Experiment with various embedding models to determine the most effective options for each project.;; Develop natural language query interfaces that integrate LLMs with both structured and unstructured datasets.;; Implement dynamic prompting techniques and function calling to enhance query handling capabilities of LLMs.;; Design and maintain a QA backend for interaction with vectorized data.;; Implement RAG systems to improve response accuracy by using relevant context from retrieved data.;; Classify and route queries appropriately between structured and unstructured data sources.;; Utilize frameworks like LangChain or LlamaIndex to manage workflows effectively.;; Fine-tune and optimize LLMs for various use cases, continuously testing and refining model performance.;; Monitor system performance and optimize for scalability and efficiency while adhering to security protocols.

Spoken Languages:

• English;; German;; French

Skillset:

• Large language models
• Embedding generation
• Vector databases
• Retrieval-Augmented Generation
• Natural language processing
• Machine learning frameworks
• Cloud services
• Containerization

Soft Skills:

• Strong problem-solving abilities
• Effective communication skills
• Ability to collaborate in cross-functional teams

Qualifications:

• Master’s Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
• Strong mathematical or statistical background preferred
• Experience with large language models such as GPT or LLaMA
• Proficiency in embedding generation and managing vector stores

Years of Experience:

5

Location:

United States

Job Benefits:

• Health insurance
• Retirement savings plan
• Paid time off
• Professional development opportunities
• Flexible working hours

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• The company fosters a culture of innovation and collaboration, encouraging team members to explore new ideas and technologies. A supportive environment is created where employees are empowered to take initiative and contribute to meaningful projects.

Opportunities For Advancement:

• Career growth within the AI/ML field, Access to training and development programs, Opportunities to lead projects

Visa Sponsorship:

Available