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Egon Zehnder

Global leadership advisory and executive search

Data Science Manager

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • The role requires 15 or more years of experience in Data Science, Machine Learning, and AI.
  • A strong academic background in Computer Science, Statistics, Mathematics, or a related field is required; a PhD or Master's degree is preferred.
  • Hands-on experience with classical machine learning, including XGBoost, Random Forest, and SVM, is required.
  • Hands-on experience with deep learning architectures, including CNNs, RNNs, LSTMs, and Transformers, is required.
  • Hands-on experience with natural language processing models and tools, including BERT, GPT, LLaMA, and T5, is required.
  • Hands-on experience with generative AI, including diffusion models, large language model fine-tuning, and prompt engineering, is required.
  • Proficiency in Python, SQL, and machine learning libraries such as scikit-learn, Hugging Face, and LangChain is required.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform and MLOps tools such as AML, MLflow, Kubeflow, or Airflow is required.
  • Strong understanding of data architecture, feature engineering, and model deployment pipelines is required.
  • Experience with vector databases, retrieval-augmented generation, and semantic search is required.
  • Familiarity with LLMOps and generative AI safety frameworks is required.
  • Experience with Aure, Azure Copilot Studio, and Azure Cognitive Services is required.
  • Strong communication and storytelling, problem-solving and analytical thinking, team leadership, and adaptability are required.

Responsibilities

  • Lead and mentor a team of data scientists, machine learning engineers, and research scientists.
  • Define and drive the AI/ML roadmap in alignment with business goals.
  • Collaborate with Product, Engineering, and Business teams to identify opportunities for AI-driven innovation.
  • Advocate for ethical AI practices and model governance.
  • Architect and implement scalable machine learning solutions using classical algorithms and deep learning frameworks.
  • Design and deploy natural language processing models for various tasks.
  • Build and fine-tune generative AI models for diverse use cases.
  • Conduct experimentation, model validation, and performance tuning.
  • Manage multiple AI/ML projects from ideation through production.
  • Translate business requirements into technical specifications and actionable insights.
  • Present findings and recommendations to senior leadership and stakeholders.

Desired Qualifications

  • Experience with Azure AI Foundry is an added advantage.
  • Publications or patents in AI/ML domains are desirable.
  • Knowledge of other cloud platforms such as AWS and Google Cloud Platform and their respective data and AI services is desirable.

About the Company

Egon Zehnder

Global leadership advisory and executive search

Egon Zehnder provides leadership advisory services to help organizations with board guidance, CEO searches and succession planning, executive search, leadership assessment, development, and organizational transformation. Its offerings are delivered through a global network of over 525 consultants in 63 offices across 37 countries, working with public and private companies, family-owned enterprises, and governments and nonprofits. The firm collaborates as One Firm to tailor solutions for each client, guiding them through strategic leadership decisions and development programs. Unlike firms that offer limited services, Egon Zehnder combines multiple leadership disciplines under one global team to support long-term outcomes. The company’s goal is to transform people, organizations, and the world through great leadership by delivering practical leadership solutions that strengthen careers, corporations, and societies.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Zurich, Switzerland
Founded
1964

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