Machine Learning Engineer

Machine Learning Engineer

• We are seeking a Machine Learning Engineer to help prototype, evaluate, and operationalize emerging AI technologies for airport use cases.
• You will work hands‑on with LLMs
  , RAG pipelines
  , and AI agents
  , helping the team rapidly test hypotheses, build proofs of concept (PoCs), and deploy pilot systems in real operational contexts.

• Prototype and evaluate foundation and multimodal models (e.g., GPT‑4/5, Claude, Gemini, Llama 3, Mistral).
• Implement retrieval‑augmented generation (RAG) workflows using vector databases (FAISS, Pinecone, Weaviate).
• Fine‑tune or adapt models using LoRA and PEFT techniques for airport‑specific data.
• Explore agentic AI tools (e.g.,
  Lang Chain
  , Auto Gen
  , CrewAI
  , Lang Graph
  ) to automate operational tasks.
• Build lightweight GenAI microservices with Python
  , FastAPI
  , and Docker for PoC deployment.
• Work with cloud platforms (AWS, GCP) for rapid model hosting and experimentation.
• Collaborate with data scientists and operations teams to test solutions in real‑world settings.
• Document and share results, experiments, and learnings for future scalability.

• Bachelors or Masters degree in Computer Science
  , Machine Learning
  , or related fields.
• 2 - 5 years of experience in ML / GenAI development or applied research.
• Proficiency in Python
  , Py Torch , and Transformers
  .
• Hands‑on experience with LLM APIs
  , Lang Chain
  , or Llama Index
  .
• Hands‑on experience with cloud ML platforms (AWS Sagemaker, Bedrock, GCP Vertex AI).
• Comfortable with rapid prototyping
  , experimentation, and iterative design.

• Exposure to multimodal or agentic AI systems.
• Understanding of prompt design
  , evaluation metrics
  , or hallucination detection
  .