Description
We are seeking a Principal / Senior Data Scientist to lead the development of enterprise-scale AI systems across machine learning, Generative AI, and industrial analytics.
This role combines deep technical expertise, structured problem-solving, and stakeholder management to translate complex and ambiguous business needs into scalable, production-grade AI solutions that drive measurable impact.
Roles & Responsibilities
- Data Science & Advanced Analytics :
- Break down complex, ambiguous problems into structured analytical workstreams
- Develop and deploy models across predictive analytics, time series, NLP, and computer vision
- Apply statistical methods and ML to uncover trends, patterns, and actionable insights
- Build methodologies to evaluate predictive power of demand signals
- Use iterative modeling with cross-validation to ensure robustness and generalization
- Perform deep exploratory and descriptive analytics to influence strategic decisions
- Data Lake & Data Engineering :
- Design and manage centralized data lakes and scalable data platforms
- Build and maintain ETL pipelines and SQL-based data systems
- Ensure data quality, reliability, and accessibility for ML use cases
- Continuously evaluate and onboard new datasets to improve model performance
- Develop deep familiarity with existing data ecosystems
- Generative AI, RAG & Agentic Systems :
- Design and deploy LLM-powered systems (RAG pipelines, agentic workflows)
- Build LLM interfaces and copilots for business users to enable decision-making
- Fine-tune LLMs for question answering, compliance checks, and workflow automation
- Apply embeddings, prompt engineering, and retrieval strategies
- Translate complex business and regulatory requirements into intelligent AI workflows
- Stay current with advancements and experiment with emerging techniques (RAG, agentic AI, multimodal systems.
- MLOps & Production Systems :
- Architect end-to-end ML pipelines: data Implement CI/CD, model monitoring, and automated retraining systems
- Define performance, scalability, and reliability standards
- Ensure solutions are secure, reusable, and production-ready
- Enable observability and system health tracking
- Governance, Risk & Compliance :
- Establish Responsible AI practices (fairness, explainability, transparency)
- Ensure compliance with Indian data protection regulations (e.g., DPDP Act)
- Implement governance for model validation, auditability, and risk control
- Define standards for secure data handling and access control
- Industrial IoT & Applied AI Systems (good to have) :
- Develop AI solutions for manufacturing, supply chain, and IoT environments
- Build systems for:
- Predictive maintenance
- Quality inspection (computer vision)
- Operational optimization
- Integrate AI outputs into real-world operational workflows
- Work with high-volume sensor and machine data
- Stakeholder Management & Problem Translation :
- Work closely with business stakeholders to understand ambiguous requirements and translate them into structured AI/ML solutions
- Bridge the gap between business context and technical implementation
- Define problem statements, success metrics, and solution approaches collaboratively
- Drive alignment across business, product, engineering, and leadership teams
- Business Insights & Decision Support :
- Derive and communicate clear, data-driven insights that influence business strategy
- Translate model outputs into actionable recommendations and decision frameworks
- Design and implement experimentation (A/B testing) to validate impact
- Enable stakeholders to consume insights via dashboards, AI interfaces, and reports
Experience & Skills
- 10-12+ years in Data Science / AI with production deployment experience
- Expertise in ML, Deep Learning, NLP, Computer Vision, and LLMs
- Strong foundation in statistics and quantitative analysis
- Proficiency in R, Python, PyTorch/TensorFlow, FastAPI, Docker, MLflow
- Experience with MLOps (CI/CD, monitoring) and cloud platforms (Azure preferred, AWS)
- Strong data engineering skills (SQL, ETL, data lakes)
(ref:hirist.tech)
