[Hiring] Machine Learning Engineer / Data Scientist @ALIQAN Technologies

Role Description

We are seeking 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). The role focuses on behavioral inference, anomaly detection, multimodal signal fusion, and scalable ML systems to reduce MTTR/MTTD and improve user experience insights.

Qualifications

• Strong foundation in:
• Supervised & unsupervised learning
• Anomaly detection
• Time-series modeling (Prophet/ARIMA/Deep Learning)
• NLP (Transformers, BERT variants)
• GenAI – LLM, RAG, Agentic
• Experience with multimodal ML systems

Requirements

• Strong Python skills
• Experience with:
• PySpark / Spark / distributed data processing
• Streaming systems (Kafka)
• APIs & microservices
• Ability to handle high-scale event data pipelines
• Modeling Techniques:
• Clustering (hierarchical, KMeans, density-based)
• Classification (XGBoost, tree-based models)
• Feature extraction (TF-IDF, embeddings)
• Experience with:
• ML pipelines (Airflow, Kubeflow, etc.)
• Docker/Kubernetes
• Model versioning & monitoring

Benefits

• Experience with observability/RUM tools
• Knowledge of WebRTC/audio signal processing
• Exposure to LLMs, RAG, and prompt engineering
• Understanding of frontend performance metrics (LCP, INP, CLS)

Experience

• 6+ years in Data Science / Machine Learning Engineering roles
• Prior experience in production ML systems is mandatory