AI Team Lead

About The Role

Droppii is seeking anAI Team Leadto architect and deliver high-impact intelligence across our e-commerce platform. Acting as a Player-Coach, you will guide a talented team while actively contributing to the codebase, bridging the worlds ofData Science, ML Engineering, and Generative AIto build production-grade systems.

Key Missions

1. Technical Strategy:Define the AI roadmap, selecting the right stack (LLMs, Vector DBs, ML Frameworks) to solve business problems like Search, Recommendations, and Growth.
2. Execution:Oversee the end-to-end lifecycle from data exploration and hypothesis testing to deployment and monitoring.
3. Team Growth:Mentor engineers, code review their work, and foster a culture of engineering excellence and clean code.

Responsibilities

1. Leadership & Architecture

• Translate business goals (e.g., increase seller sales) into technical AI specifications.
• Make high-level architectural decisions onGenAI (RAG/Agents)andML Pipelines.
• Establish best practices for code quality, testing, and documentation.

2. Generative AI (LLM) Engineering

• Lead the design of context-awareChatbots and AssistantsusingRAG, LangChain, and Vector Databases (Chroma/pgvector).
• Implement advanced retrieval strategies and agentic workflows to handle complex queries.

3. Core ML & Data Science

• Guide the development ofRecommendation Systems(Collaborative Filtering/Two-Tower) and predictive models (Churn/Demand Forecasting).
• Ensure rigorousData Science standards: proper EDA, feature engineering, and statistical validation (A/B testing) of models.

4. MLOps & Engineering

• Oversee the deployment of models intoproduction (Kubernetes/Azure), ensuring low latency and high scalability.
• ImplementMLOpspipelines for automated retraining, versioning, and drift monitoring (MLflow).

Skills & Qualifications

Must-Haves:

• Proven Track Record:A portfolio ofdeployed AI/ML systemsin production, with demonstrated history of technical leadership or mentoring.
• The Full-Stack AI Profile:
• GenAI:Expert in LLMs, Prompt Engineering, and RAG architectures.
• ML/DS:Strong background in RecSys, Deep Learning (PyTorch/TensorFlow), and Statistics.
• Engineering:Production-level Python skills, API design (FastAPI), and SQL mastery.
• Deployment:Experience with Docker, Kubernetes, and Cloud Platforms (Azure preferred).
• Leadership:Strong communication skills to bridge technical and business teams.

Nice-to-Have:

• Experience in E-commerce or Retail Tech.
• Knowledge of Big Data tools (Spark, Databricks).

Why Candidate should apply this position

Tech Freedom:We use the best tool for the job. You won't be stuck maintaining a legacy monolith forever.

Scale:Your code will process thousands of orders and events. The complexity is the fun part.

Growth:We provide a budget for courses, certifications, and conferences.

Culture:Flat structure, open communication, and no micromanagement. We care about *Output*, not *Hours*.