Requirements

Role Summary

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  Build AI/ML solutions for People Analytics, Workforce Intelligence, HR Automation, Employee Experience, and Compensation Analytics.

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  Deliver end-to-end data science projects from discovery to deployment.

Key Responsibilities

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  Develop predictive models for attrition, performance, and career progression.

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  Build recruitment analytics and workforce planning models (headcount, skills, succession).

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  Implement NLP-based sentiment analysis and text analytics.

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  Develop HR chatbots, resume screening, and document AI pipelines.

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  Create dashboards, ROI models, and recommendation systems.

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  Lead POCs in Generative AI, LLMs, and emerging HR tech.

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  Integrate ML capabilities into products and client solutions.

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  Present insights to leadership and manage client engagements.

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  Oversee full project lifecycle from requirements to production.

Qualifications

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  Bachelor’s in Math/Stats/CS/Data Science/Engineering; Master’s preferred.

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  5–6 years of experience in Data Science, ML, AI, model deployment, and solution delivery.

Core Technical Skills

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  Python (Advanced):
  OOP, APIs, testing, documentation, production-grade code.

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  ML & DL:
  Classical ML, TensorFlow/Keras/PyTorch, time-series, anomaly detection.

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  NLP:
  Transformers (BERT/GPT), text classification, sentiment analysis, NER.

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  ML Engineering:
  MLOps, model monitoring, retraining, ML pipelines (FastAPI/Flask).

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  Big Data:
  Spark/PySpark, large-scale ETL.

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  Cloud:
  AWS/Azure/GCP, ML services (SageMaker/AzureML/VertexAI), Docker, Kubernetes.

Desired Skills

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  Generative AI, LLMs, LangChain, RAG, fine-tuning models.

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  Computer Vision, OCR, Document AI.

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  Recommendation systems and advanced analytics (A/B testing, causal inference).

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  Dashboards (Tableau, Power BI, Plotly), SQL, NoSQL, vector DBs.

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  CI/CD, Git workflows, scalable deployment.

Domain & Consulting Skills

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  Experience in HR/People Analytics (preferred).

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  Strong communication and client-facing skills.

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  Ability to align AI/ML solutions with business goals.

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  Innovation mindset with POC/prototype experience.

Benefits