Data Scientist AI, ML & Analytics

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We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long -term project. Here are a few details.

Requirements

Role Summary

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

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

Key Responsibilities

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

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

• Implement NLP -based sentiment analysis and text analytics.
  

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

• Create dashboards, ROI models, and recommendation systems.
  

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

• Integrate ML capabilities into products and client solutions.
  

• Present insights to leadership and manage client engagements.
  

• Oversee full project lifecycle from requirements to production.
  

Qualifications

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

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

Core Technical Skills

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

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

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

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

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

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

Desired Skills

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

• Computer Vision, OCR, Document AI.
  

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

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

• CI/CD, Git workflows, scalable deployment.
  

Domain & Consulting Skills

• Experience in HR/People Analytics (preferred).
  

• Strong communication and client -facing skills.
  

• Ability to align AI/ML solutions with business goals.
  

• Innovation mindset with POC/prototype experience.
  

Benefits