Senior Data Scientist — Core AI R&D

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:

• 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 Responsibilities

• Time‑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.
• 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.
• 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 Qualifications

Education

• Ph D preferred, or Master’s degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, or 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
• Experience with modern deep learning frameworks (Py Torch 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, LLMet 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.

Looking forward to your reply!

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