[Remote] Data Scientist
Note: The job is a remote job and is open to candidates in USA. Talentmatics is hiring a Senior Data Scientist for its Core AI Research team to develop next-generation predictive and prescriptive intelligence solutions. The role focuses on advanced machine learning involving time-series modeling, reinforcement learning, knowledge graphs, multi-modal AI, and production-ready AI systems.
Responsibilities
- Develop deep learning models for industrial sensor and time-series data
- Build forecasting, anomaly detection, predictive maintenance, and model retraining pipelines
- Design reinforcement learning solutions for operational decision-making and optimization
- Develop knowledge graph and graph-based learning capabilities to improve asset intelligence
- Integrate structured and unstructured data sources including sensor data, technical documents, maintenance logs, and operator notes
- Build and enhance RAG and vector-database-powered AI solutions
- Translate AI research into scalable, production-ready systems
- Define model evaluation metrics and mentor junior team members
Skills
- 5+ years of machine learning experience with expertise in one or more of:
- Time-Series Modeling
- Reinforcement Learning
- Graph ML / Knowledge Representation
- Strong Python and PyTorch (preferred) or TensorFlow experience
- Experience building and deploying deep learning models in production
- Familiarity with RL frameworks, graph databases/GNNs, vector databases, and RAG architectures
- Experience with AWS, Azure, or GCP
- Strong software engineering, experimentation, and communication skills
- PhD preferred or Master's degree in Computer Science, AI, Statistics, Engineering, Applied Mathematics, or related field
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