What we do
We are creating a web3 well-being service that allows users to own and control their data while still being able to put data into well-being services to enhance their well-being.
We pay particular focus on relationships, well-being and social capital.
- Check our presence at https://www.linkedin.com/company/minglo/
What you do
Are you passionate about AI and eager to work on cutting-edge technology Do you know how to develop AI models and deploy them to production environments We're looking for a Data Scientist to join our team and help drive innovation in AI-driven recruitment service. If you're experienced with large language models (LLMs), AI systems, and cloud service, we want to hear from you!
Key Responsibilities:- Design, develop, and deploy AI and machine learning models with a focus on large language models (LLMs).
- Optimize AI models and systems for performance, scalability, and reliability.
- Build and refine recommendation engines and generative AI systems.
- Conduct LLM assessment, including systematic validation, benchmarking of LLMs and prompt injections.
- Collaborate with cross-functional teams to bring AI solutions to production.
- Implement ML-assisted data processing, labeling, and distillation techniques.
- Ensure AI systems comply with security standards and regulatory requirements.
- Stay current with the latest AI trends and technologies to apply innovative solutions to business problems.
- Provide guidance and mentorship to team members on AI best practices.
- Maintain comprehensive documentation of AI architecture, design decisions, and workflows.
Qualifications:- 2+ years of hands-on experience developing AI and data products.
- Strong experience with Large Language Models (LLMs) and NLP frameworks/libraries (e.g., Gensim, SpaCy).
- Proficiency with the modern data science stack, including Python, NumPy, Pandas, Scikit-Learn, and Jupyter/Colab notebooks.
- Experience taking AI ideas to production and familiarity with cloud platforms
- Knowledge of Deep Learning frameworks like PyTorch, TensorFlow, and Keras.
- Experience in machine learning software stacks involving deep neural networks, optimization, simulation, and ETL processes.
- Hands-on experience with generative AI, prompting techniques, vector databases, embeddings, fine-tuning, and agentic systems.
- Strong analytical and problem-solving skills with attention to detail.
- Experience with SQL and NoSQL databases, data warehouses, and RESTful APIs.
Good to have:- Experience with LLM safety testing and developing defense mechanisms against vulnerabilities (e.g., prompt injections).
- Familiarity with fairness assessments in AI systems.
- Experience with LLM guardrails and safety tools like NeMo, LLM-Guard.
- Experience with building NLP and NLU models using state-of-the-art algorithms (BERT, Transformer, etc.).
Kindly send your resume to [Confidential Information]
Thank you very much!
