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Data Scientist

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Job Location drjobs

Gurgaon - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

  Job Title: Senior Data Science Manager / Lead AI Scientist  Location:  Gurugram  Domain: Aviation AI/ML GenAI Computer Vision NLP  Reports To: Director of AI / Head of Data Science  Experience Required: 8 years in Data Science including 3 years in leadership roles


Job Summary:

We are seeking a highly accomplished Senior Data Science Manager / Lead AI Scientist to drive innovation and lead end-to-end development of cutting-edge AI/ML solutions. The ideal candidate has a strong background in GenAI machine learning NLP and computer vision with a proven track record of delivering impactful production-grade solutions in a complex enterprise environment such as aerospace aviation or manufacturing.

Key Responsibilities:

Lead the design development and deployment of AI/ML models including GenAI multi-agent systems predictive analytics and recommendation engines.
Architect scalable machine learning pipelines using Azure Databricks and cloud-native tools (AWS/Azure).
Collaborate with stakeholders across engineering business and product teams to define data strategies and translate complex problems into AI-powered solutions.
Mentor and manage junior data scientists establish training programs and lead performance evaluations and sprint planning.
Present strategic insights and data-driven recommendations to C-level executives and cross-functional leaders.
Implement and optimize MLOps CI/CD pipelines and model governance practices.
Develop and maintain AI/ML tools for computer vision NLP and hybrid recommender systems with high accuracy and business value.
Lead R&D efforts to explore innovative technologies like LLMs knowledge graphs CNNs/RNNs for CFD and prompt engineering.
Contribute to the organization’s IP portfolio through patents publications and conference presentations.
Ensure best practices in model validation testing and deployment while complying with AI ethics and fairness guidelines.

Key Skills & Technologies:

AI/ML/NLP: LLMs RAG/CAG Deep Learning Doc2Vec XGBoost Topic Modeling Object Detection
Programming & Tools: Python SQL PyTorch Spark OpenCV Tableau
Cloud & Platforms: AWS (SageMaker EC2) Azure Databricks
Databases: SQL NoSQL Neo4j Cassandra Vector DBs
Frameworks: LangGraph LangChain FastAPI Docker SpringBoot
Project Management: Agile SAFe Scrum Sprint Planning Change Management
Soft Skills: Cross-functional leadership mentoring strategic thinking innovation

Preferred Qualifications:

Experience in aviation aerospace or industrial domains
Prior exposure to airline operations flight management systems or maintenance analytics
Publication or patent record in AI/ML research
Experience with data extraction from technical manuals or Jeppesen aviation databases
Strong grasp of AI ethics data governance and fairness in ML systems

Employment Type

Full Time

Company Industry

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