AI Model Architect
We are seeking a talented individual to design, train, and deploy machine learning models that drive autonomous exception resolution, anomaly detection, and explainable insights.
* Develop retrieval-augmented generation pipelines using vector databases and frameworks like LangChain and MCP.
* Collaborate with data engineering to maintain data pipelines for ML workloads.
* Implement model monitoring, drift detection, and retraining pipelines.
You will have the opportunity to:
* Work hands-on with multiple large language model ecosystems.
* Design and implement prompt engineering and safety techniques.
* Integrate memory and explainability into agentic workflows.
Responsibilities:
1. Design, train, fine-tune, and deploy AI/ML models for production.
2. Build retrieval-augmented generation pipelines using natural language processing and machine learning.
3. Develop optimal prompt engineering, optimization, and safety techniques for LLM interactions.
4. Cross-functionally collaborate with R&D, data science, product, and engineering teams.
5. Mentor junior engineers and contribute to best practices in AI engineering.
This role requires strong technical skills in software development, data analysis, and problem-solving. You will have the opportunity to:
* Work on emerging technologies like multi-agent orchestration patterns.
* Explore new architectures and methodologies for LLMs.
* Develop expertise in feature engineering, embeddings generation, and model interpretability.
Please submit your application if you are passionate about AI, machine learning, and software development.