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Associate Director - Data Science

Associate Director - Data Science

Talent WorxGurugram
8 days ago
Job description

Description :

Key Responsibilities Leadership & Vision :

  • Define and execute the organizations AI and Data Science strategy, ensuring alignment with business objectives and technology roadmaps.
  • Lead the strategic adoption of Generative AI and advanced ML to create innovative, data-driven products and services.
  • Partner with executive leadership to identify new business opportunities enabled by AI and analytics.
  • Drive the establishment of governance frameworks, AI ethics standards, and responsible AI practices across the organization.

Technical Excellence & Delivery :

  • Architect and oversee the design, development, and deployment of scalable ML and GenAI systems from concept to production.
  • Lead end-to-end project execution, including problem framing, model development, deployment, monitoring, and continuous improvement.
  • Evaluate and introduce emerging AI technologies, ensuring the organization remains at the forefront of innovation.
  • Define best practices for MLOps, model governance, and lifecycle management, ensuring reliability and scalability of deployed models.

    • Team Leadership & Mentorship :

  • Build, manage, and mentor a high-performing team of data scientists, ML engineers, and AI researchers.
  • Foster a culture of continuous learning, experimentation, and innovation within the data science organization.
  • Provide technical leadership and guidance, ensuring that teams adhere to best practices in data management, modeling, and deployment.
  • Drive career development, performance management, and succession planning for team members.

    • Cross-Functional & Organizational Impact :

  • Collaborate with Product, Engineering, and Business leaders to define data-driven strategies and integrate AI into products and operations.
  • Act as a trusted advisor to senior stakeholders, translating complex technical concepts into actionable business insights.
  • Champion the data-driven decision-making culture across departments by promoting data literacy and analytics best practices.
  • Manage budgeting, resource allocation, and vendor partnerships related to AI and data science initiatives.

    • Essential Qualifications :

  • 10 - 12 years of experience in Data Science, Machine Learning, or AI, including 5+ years in a senior or technical leadership capacity.
  • Proven experience with Large Language Models (LLMs) (OpenAI, Anthropic, LLaMA) including prompt engineering, fine-tuning, and embedding-based retrieval systems.
  • Expertise in Python and its core libraries : NumPy, Pandas, scikit-learn, PyTorch / TensorFlow, and Hugging Face Transformers.
  • Demonstrated success in delivering end-to-end Generative AI or advanced NLP solutions (e.g., conversational AI, summarization, custom NER, or document Q&A systems) into production.
  • Deep understanding of AI deployment tools such as Docker, Kubernetes, Airflow, and API frameworks (Flask, FastAPI).
  • Strong experience with data pipeline architecture, MLOps, and AI model governance frameworks.

    • Preferred Qualifications :

  • Masters or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
  • Experience in cloud platforms (AWS, GCP, or Azure) for model training, deployment, and scaling.
  • Familiarity with Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, FAISS, Weaviate), and multi-modal AI systems.
  • Proven ability to influence senior executives and drive AI adoption across diverse business functions

    • (ref : hirist.tech)

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    Director Data Science • Gurugram

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