Location: Remote Employment Type: Full-time Preferred: Time-zone overlap with India working hours About the Opportunity Our client is a fast-growing technology company developing advanced AI-powered solutions for industrial analytics and operational intelligence. As they continue to expand their Core AI Research & Development team, we are seeking a Senior Data Scientist with strong research and applied experience in one or more of the following areas: * Time-series modeling for industrial sensor data * Reinforcement learning and prescriptive decision-making * Knowledge representation, graph learning, and multi-modal AI systems
This role offers the opportunity to work on cutting-edge AI research while driving real-world business impact through production-grade solutions. Key ResponsibilitiesTime-Series Modeling * Develop and enhance modern deep learning models for time-series analysis using large-scale industrial sensor datasets. * Design retraining and adaptation pipelines to maintain model performance as data evolves over time. * Apply transfer learning and low-label adaptation techniques to support new equipment types and sensor sources. * Improve prediction accuracy across multiple asset categories.
Reinforcement Learning & Prescriptive Intelligence * Design reinforcement learning frameworks that generate actionable operational recommendations. * Develop optimization approaches that balance multiple business and operational constraints. * Implement preference-learning techniques leveraging expert feedback and validated operational outcomes. * Collaborate with product and engineering teams to integrate prescriptive recommendations into production environments.
Knowledge Representation & Multi-modal AI * Expand and enhance domain knowledge graphs representing industrial assets, failure modes, and recommended actions. * Apply graph-based learning methods to improve reasoning and knowledge transfer across equipment types. * Integrate structured and unstructured data sources, including technical documentation, engineering diagrams, operator notes, and conversational data. * Identify patterns and insights that improve model generalization across industries and customer segments.
Research & Collaboration * Translate state-of-the-art research into scalable, production-ready solutions. * Mentor junior data scientists and contribute to the growth of the research organization. * Collaborate with cross-functional teams to bring AI innovations into customer-facing products. * Define, monitor, and improve quality metrics for predictive and prescriptive AI systems. * Contribute to patents, publications, and open-source initiatives where appropriate.
Required QualificationsEducation * PhD preferred, or Master’s degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, or a related field. * Exceptional candidates with equivalent industry experience will also be considered.
Technical Experience * 5+ years of hands-on machine learning experience with deep expertise in at least one of: * Time-series modeling * Reinforcement learning * Graph machine learning and knowledge representation * Strong Python programming skills. * Experience with modern deep learning frameworks (PyTorch preferred). * Practical knowledge of reinforcement learning methodologies and production-grade RL frameworks. * Experience working with knowledge graphs, graph neural networks, embeddings, or related technologies. * Familiarity with retrieval-augmented systems, vector databases, and unstructured data processing. * Experience with cloud platforms and managed machine learning services. * Strong software engineering practices, including version control, testing, and reproducible experimentation.
Soft Skills * Strong product mindset with the ability to move research into production. * Excellent communication skills and ability to work with both technical and non-technical stakeholders. * Comfortable working in fast-paced environments with evolving priorities. * Experience collaborating across distributed and international teams.
Nice to Have * Experience in predictive maintenance, condition monitoring, industrial AI, or vibration analysis. * Knowledge of physics-informed machine learning or causal inference techniques. * Publications in leading ML conferences or journals. * Experience with agentic AI systems, LLM evaluation, or advanced generative AI applications.
What Our Client Offers * Opportunity to work on challenging AI research problems with direct business impact. * Collaborative environment combining research excellence with product delivery. * Remote-first culture with a globally distributed team. * Exposure to large-scale industrial datasets and real-world AI applications. * Competitive compensation package and long-term growth opportunities.
