Senior AI/ML Engineer in Snaphunt

The Offer

• You can contribute and influence the development of a new product
• Work with AI product
• Flexible working options

The Job

Responsibilities:

• Interact with the modern LLMs and adopt the best practices of their usage.
• R&D activities (experimenting with LLMs): Generate code based on the input description. Build test cases based on the user scenarios.
• Performance Monitoring: Monitor the performance of the models and make adjustments as necessary to maintain or enhance model accuracy and efficiency.
• Data Preprocessing and Annotation: Work with the Data Engineering team to preprocess and annotate the training data for AI/ML models. Collaborate with subject matter experts to create labeled datasets that facilitate supervised and unsupervised learning.
• Prototyping and Evaluation: Rapidly prototype and iterate different AI/ML approaches to identify the most suitable solution to meet the requirements.
• Perform rigorous evaluations to measure the model's performance against defined metrics.
• Documentation: Document all stages of the AI/ML development process, including design choices, architecture, algorithms, and evaluation results, ensuring knowledge transfer and team understanding.
• Collaboration: Collaborate closely with cross-functional teams, including Data Scientists and Software Engineers.
• Stay Abreast of Industry Trends: Keep up-to-date with the latest advancements in AI/ML, NLP, LLM and other relevant technologies. Integrate new research findings and methodologies into the project as applicable.

The Profile

• Experience: Demonstrated experience of at least 5 years in developing AI/ML solutions with a focus on LLM and LLM frameworks (e.g. LangChain). Strong knowledge and practical experience in Generative AI, Interactive Chatbots, Graph databases.
• Data Processing: Experience in preprocessing and handling large-scale, unstructured text data, and the ability to perform data analysis and validation.
• Problem-solving and Innovation: Proven ability to tackle complex technical challenges, think innovatively, and propose creative solutions to real-world problems.
• Communication: Excellent verbal and written communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.

English level: Upper-Intermediate

The Employer

Our client provides full-service solutions for mid-market and enterprise organizations.