Lead AI Engineer

Egon Zehnder

Lead AI Engineer advancing machine learning, NLP, and GenAI for Egon Zehnder, a global executive search firm. Designing RAG systems, deploying models, and mentoring data scientists.

Posted 8/22/2026full-timeGurugram • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying machine learning models, particularly in NLP and GenAI, while effectively translating business challenges into data-driven solutions. Proven ability to mentor teams and communicate complex insights to stakeholders through visualization and storytelling.

Highest-signal resume keywords

Machine Learning Model DevelopmentNatural Language Processing (NLP)GenAI Model Fine-TuningRetrieval-Augmented Generation (RAG)Cloud Platform Familiarity (Azure, AWS, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLTensorFlowPyTorchScikit-learnFeature EngineeringData StructuresAlgorithmsMachine LearningDeep Learning

Soft Skills

Analytical SkillsProblem-SolvingCommunicationStakeholder EngagementCollaboration

Tools & Technologies

Azure AI FoundryAzure AI StudioGPTLLaMALangChainMLflowAirflowKubeflowAzure Cognitive ServicesVector Databases

Certifications & Qualifications

Master's DegreePhD

Industry Keywords

Data ScienceMachine LearningArtificial IntelligenceConsultingFinanceHealthcareRetailEnterprise SaaSOpen-Source ContributionsAI/ML Patents

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning models using classical algorithms and deep learning architectures, including CNNs, RNNs, and Transformers
Build NLP solutions for text classification, entity recognition, summarization, and conversational AI
Develop and fine-tune GenAI models for content generation, code synthesis, and personalization
Architect and implement Retrieval-Augmented Generation (RAG) systems
Collaborate with data engineers to build scalable data pipelines and feature stores
Perform advanced feature engineering and selection
Work with large-scale structured and unstructured datasets using distributed computing frameworks
Translate business problems into data science solutions and communicate findings to stakeholders
Present insights and recommendations through storytelling and visualization
Mentor junior data scientists and contribute to internal knowledge sharing and innovation
Potentially lead a technical team

Requirements

What you’ll need

10+ years of experience in data science, machine learning, and AI
Strong academic background in Computer Science, Statistics, Mathematics, or related field
Proficiency in Python, SQL, scikit-learn, TensorFlow, PyTorch, and Hugging Face
Experience with NLP and GenAI tools, including Azure AI Foundry, Azure AI Studio, GPT, LLaMA, and LangChain
Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases
Familiarity with Azure, AWS, or GCP cloud platforms
Familiarity with MLflow, Airflow, or Kubeflow
Solid understanding of data structures, algorithms, and software engineering principles
Experience with Aure, Azure Copilot Studio, and Azure Cognitive Services
Master's or PhD preferred
Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks
Experience in consulting, finance, healthcare, retail, or enterprise SaaS domains
Contributions to open-source projects, publications, or AI/ML patents
Strong analytical and problem-solving skills
Excellent communication and stakeholder engagement abilities
Ability to work independently and collaboratively in cross-functional teams
Passion for continuous learning and innovation

Benefits

Comp & perks

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
Inclusive culture valuing diversity
Regular catchups with manager acting as career coach and guide
Equal employment opportunities