Machine Learning Engineer / Data Scientist
ALIQAN Technologies2d
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Machine Learning Engineer / Data Scientist
ALIQAN Technologies
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees
Job Search Resources
Career Resources
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