Machine Learning Engineer / Data Scientist

ALIQAN Technologies

1d

About The Position

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.

Requirements

• Strong foundation in Supervised & unsupervised learning
• Strong foundation in Anomaly detection
• Strong foundation in Time-series modeling (Prophet/ARIMA/Deep Learning)
• Strong foundation in NLP (Transformers, BERT variants)
• Strong foundation in GenAI – LLM, RAG, Agentic
• Experience with multimodal ML systems
• Strong Python skills
• Experience with PySpark / Spark / distributed data processing
• Experience with Streaming systems (Kafka)
• Experience with APIs & microservices
• Ability to handle high-scale event data pipelines
• Experience with Clustering (hierarchical, KMeans, density-based)
• Experience with Classification (XGBoost, tree-based models)
• Experience with Feature extraction (TF-IDF, embeddings)
• Experience with ML pipelines (Airflow, Kubeflow, etc.)
• Experience with Docker/Kubernetes
• Experience with Model versioning & monitoring
• 6+ years in Data Science / Machine Learning Engineering roles
• Prior experience in production ML systems is mandatory

Nice To Haves

• 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)

Responsibilities

• Design ML-driven observability solutions
• Build ML-driven observability solutions
• Productionize ML-driven observability solutions
• Focus on behavioral inference
• Focus on anomaly detection
• Focus on multimodal signal fusion
• Focus on scalable ML systems to reduce MTTR/MTTD and improve user experience insights

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1-10 employees