AI/ML Engineer
Job Description
- Build production-ready AI applications using Python and FastAPI.
- Design LLM pipelines including data ingestion, inference, and response generation.
- Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
- Apply advanced prompt engineering techniques to enhance LLM outputs.
- Implement vector stores and embeddings for semantic search and RAG.
- Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows.
- Integrate AI systems with enterprise platforms and maintain robust data flows.
- Follow best practices in coding, testing, and deployment within CI/CD pipelines.
- Continuously explore and recommend emerging tools and AI technologies.
More Info
Key Skills
LangChain
CrewAI
embeddings
prompt engineering
LangGraph
vector stores
Cloud Run
Vertex AI
RAG
About Company
Skills:
S3, Microservices, Tensorflow, Lambda, Pytorch, Docker, ECS, Rest Apis, Python, AWS, Scikit-learn, GRPC, async job processing, Fargate, CI CD pipelines
Skills:
Data Modeling, Sql, Django, Git, React, Gcp, Docker, Flask, FastAPI, NextJs, Azure, Python, AWS, data lakes, backend APIs, scalable system design, machine learning model integration, ETL processes
Skills:
Keras, Pytorch, Java, Python, Tensorflow, Intel, Qualcomm, ONNX, Nvidia Jetson, Resnet, Yolo, Mobilenet
Skills:
Websocket, Gcp, Node.js, Restful Apis, Azure, Python, AWS, Speech Recognition, OpenAI GPT, Whisper API, Google TTS, Eleven Labs
Skills:
Numpy, Pandas, Python, Data Analysis, Statistical Modeling, Forecasting, decision-support systems, anomaly detection, time-series analysis, machine learning techniques