AI Engineer

2 weeks ago

Bonifacio Global Metro Manila, Philippines YONDU INC. Full time ₱80,000 - ₱120,000 per year

Company Description

Yondu, a Philippine-based IT solutions company owned by Globe Telecom, provides innovative technology solutions to help businesses grow in the digital economy. Established in 2001, Yondu has fostered a vibrant, collaborative, and dynamic workplace culture driven by innovation and continuous learning. Our team works on developing cutting-edge business solutions while supporting personal and professional growth through upskilling initiatives, certification programs, and training. With a flexible work-from-anywhere setup and a focus on rewarding excellence, Yondu is committed to creating exceptional technological experiences and delivering valuable business solutions.

Role Description

This is a full-time AI Engineer role based in Taguig with a hybrid work setup, allowing for flexibility between working on-site and remotely. The role involves designing and implementing AI models, including pattern recognition, neural networks, and natural language processing techniques. You will also work on improving machine learning algorithms, developing software solutions, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.

KEY RESPONSIBILITIES:

a) Build OpenAI LLM module for RCA, Incident Summary, Correlations and Remediation engine using SOPs, ELK logs and ServiceNow tickets.

b) Build ML Model to detect anomalies in the logs

QUALIFICATIONS:

LLM Model build (primary skill):

a) experience in designing transformer architecture and dynamic prompts using system/user context, templating, and multi-turn chatbot conversational two-way (chatbot) design and also workflow based orchestration.

b) experience in building tokenization, embeddings, prompt engineering, and fine-tuning using Hugging Face Transformers, OpenAI API, LangChain docs.

c) experience in deploying and configuring vector DBs for scalable similarity search, HNSW indexing, sharding, and metadata filtering such as Milvus or Azure AI Search

d) experience in Implementing RAG text chunking strategies (semantic chunking, sliding window, hierarchical chunking) to balance retrieval accuracy and context fit using tolls such as LangChain TextSplitter or LlamaIndex.

Machine Learning Modelling (secondary skill if available) :

a) Feature engineering using Pandas, NumPy, Scikit-learn, Featuretools, PyCare or equavalent

b) Model selection an training for Time-series models (ARIMA, LSTM, Prophet, VAE, etc) and Supervised models (IsolationForest,XGBoost, LightGBM, RandomForest, etc)

c) experience in model ops /deployment using Docker, Kubernetes, MLflow, Airflow, Kubeflow, Azure ML, SageMaker, GitHub Actions or etc.

d) Monitoring an ddrift detection using EvidentlyAI, WhyLabs, Prometheus, Grafana, ELK Stack, LangSmith (for GenAI), Weights & Biases or etc

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