Lead data science team for AI Search recommendations at Peec AI. Responsible for end - to - end ML lifecycle and technical leadership.
About the role
- Data Scientist developing and deploying Generative AI solutions including LLMs for various enterprise applications. Collaborating with teams to implement AI technologies effectively.
Responsibilities
- Lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases
- Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval
- Fine-tune or adapt foundation models using domain-specific data
- Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB)
- Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs
- Develop custom prompts and prompt chains using tools like LangChain, LlamaIndex, PromptFlow, or custom frameworks
- Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost
- Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture
Requirements
- 6+ Years of experience in Data Science / ML
- 1+ year hands-on in LLMs / GenAI projects
- Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow
- Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models
- Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques
- Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask)
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices
- Excellent communication skills with the ability to translate technical solutions into business impact
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist responsible for training models and developing algorithms to boost AI search visibility for brands. Collaborate closely with engineering to integrate ML solutions in a fast - growing startup environment.
Lead Data Scientist driving the development of personalization and recommendation systems at GoPay. Collaborating with Product and Engineering teams to deploy scalable ML pipelines.
Director of Product Analytics at Collinson, leveraging data to influence product strategy and decisions. Collaborate with product leadership to drive customer and commercial impacts through analytics.
AI Data Scientist focused on pioneering AI - driven solutions for The Hartford. Implementing advanced use cases and driving innovation with cutting - edge AI tools.
Data Scientist within Jellyfish’s Cloud and Martech practice designing measurement and predictive analytics solutions that improve client performance. Engage with complex data challenges to assist in strategic decision - making.
Senior Manager, Data Science leading a team in analytics and machine learning at QVC Group. Involves managing projects across retail, customer experience, and finance.
Principal Product Data Analyst at Adobe focusing on product analytics and decision support. Integrating data products that enhance user experience and drive product innovation.
Senior Data Scientist responsible for developing models for banking optimization and analyzing large datasets. Collaborating with multiple teams to provide strategic insights and mentorship.
Data Scientist at a banking company in São Paulo. Focused on process optimization and data analysis to enhance decision making and customer behavior predictions.