Note: The job is a remote job and is open to candidates in USA. Talentmatics is seeking a Senior Data Scientist to join their Core AI R&D team. The role involves developing advanced AI solutions, including deep learning models and reinforcement learning systems, to enhance predictive and prescriptive capabilities.
Responsibilities
- Develop advanced deep learning models for time-series and sensor data
- Design reinforcement learning solutions for decision-making and optimization
- Build and enhance knowledge graph and graph ML capabilities
- Integrate multi-modal data including documents, diagrams, operational notes, and sensor streams
- Translate cutting-edge AI research into scalable production solutions
- Define model evaluation metrics and continuously improve model performance
Skills
- 15+ Years of experience
- 5+ years of experience in Machine Learning, Data Science, or AI Research
- Strong Python and PyTorch expertise
- Deep experience in one or more of: Time-Series Forecasting & Deep Learning, Reinforcement Learning (RL), Graph ML / Knowledge Representation
- Experience with RAG, Vector Databases, and unstructured data processing
- Experience working with AWS, Azure, or GCP
- Strong software engineering and experimentation practices
- PhD or Master's in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, AI, or related field
- Experience with Predictive Maintenance, Industrial AI, IoT, or Sensor Analytics
- Knowledge of Physics-Informed ML, Causal Inference, or Graph Neural Networks
- Publications, patents, or research contributions in AI/ML
- Familiarity with Agentic AI and LLM evaluation frameworks
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