Data Science Manager

13 hours ago

Gurugram, India Egon Zehnder Full time

The Position We are seeking a seasoned and visionary Data Science Manager with deep expertise in AI/ML, including Classical ML, Deep Learning, NLP, and Generative AI. The ideal candidate will have a strong technical foundation, proven leadership experience, and a passion for solving complex business problems using data-driven approaches. This role requires a balance of strategic thinking, hands-on technical execution, and team leadership.  Requirements Leadership & Strategy  Lead and mentor a team of data scientists, ML engineers, and research scientists.  Define and drive the AI/ML roadmap aligned with business goals.  Collaborate with cross-functional teams (Product, Engineering, Business) to identify opportunities for AI-driven innovation.  Advocate for ethical AI practices and model governance.  Technical Execution  Architect and implement scalable ML solutions using classical algorithms and deep learning frameworks.  Design and deploy NLP models for various tasks. Build and fine-tune Generative AI models for diverse use cases.  Conduct rigorous experimentation, model validation, and performance tuning.  Project & Stakeholder Management  Manage multiple AI/ML projects from ideation to production.  Translate business requirements into technical specifications and actionable insights. Present findings and recommendations to senior leadership and stakeholders.  Required Qualifications  15+ years of experience in Data Science, Machine Learning, and AI.  Strong academic background in Computer Science, Statistics, Mathematics, or related field (PhD or Master’s preferred). Hands-on experience with:  Classical ML: XGBoost, Random Forest, SVM, etc.  Deep Learning: CNNs, RNNs, LSTMs, Transformers  NLP: BERT, GPT, LLaMA, T5, etc.  GenAI: Diffusion models, LLM fine-tuning, prompt engineering  Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc.).  Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow).  Strong understanding of data architecture, feature engineering, and model deployment pipelines.  Experience with vector databases, retrieval-augmented generation (RAG), and semantic search.  Familiarity with LLMOps and GenAI safety frameworks.  Experience with Aure, Azure Copilot Studio, Azure Cognitive Services  Experience with Azure AI Foundry would be a strong added advantage  Publications or patents in AI/ML domains.  Good to know other cloud platforms like AWS, GCP and their respective data and AI services.  Soft Skills  Excellent communication and storytelling skills.  Strong problem-solving and analytical thinking.  Ability to inspire and lead high-performing teams.  Adaptability in a fast-paced, evolving tech landscape.  Benefits Benefits which make us unique At EZ, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Egon Zehnder can mean for you Benefits Highlights: · 5 Days working in a Fast-paced work environment · Work directly with the senior management team · Reward and Recognition · Employee friendly policies · Personal development and training · Health Benefits, Accident Insurance

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