Description

We are looking for a strong Machine Learning Engineer + Data Scientist hybrid to design, build, and productionize ML-driven observability solutions on top of large-scale session data (RUM, logs, WebRTC, clickstreams).

Required Skills:
Core ML / Data Science
Supervised & Unsupervised Learning
Time-Series Modeling (Prophet / ARIMA / Deep Learning)
NLP (Transformers, BERT variants)
GenAI – LLM, RAG, Agentic AI
Multimodal ML Systems
Engineering & Systems
Strong Python skills
PySpark / Spark
Kafka / Streaming systems
APIs & Microservices
High-scale event data pipelines
Modeling Techniques
Clustering (Hierarchical, KMeans, DBSCAN)
Classification (XGBoost, Tree-based models)
Feature Engineering (TF-IDF, Embeddings)
MLOps & Deployment
Airflow / Kubeflow
Docker / Kubernetes
Model Versioning & Monitoring

Key Skills

Education

Any Graduate