Senior Associate Data Science & Machine Learning

Role:

About the Role

Data Science & Machine Learning Engineer

Key Responsibilities

• Build predictive models using classification, regression, clustering, and time-series techniques.
  
• Perform feature engineering, algorithm selection, hyperparameter tuning, and model evaluation.
  
• Build

  deep learning models

  using PyTorch or TensorFlow (CNNs, RNNs, transformers).
• Develop

  GenAI applications

  using embeddings, LLMs, prompt engineering, RAG pipelines, LangChain, LlamaIndex, HuggingFace models.
• Design and implement

  end-to-end ML pipelines

  from ingestion to deployment.
• Build scalable data pipelines and work with cloud-based ML platforms (AWS/GCP/Azure ML).
  
• Deploy, monitor, and maintain ML models using

  MLOps tools

  and CI/CD workflows.
• Work closely with product and engineering teams to integrate ML solutions.
  

Must-Have Skills

• Strong fundamentals:

  Statistics, Probability, Linear Algebra, Optimization

• Machine Learning:
  
• Classification, Regression, Clustering
  
• Model evaluation (AUC, F1, Recall, ROC curves)
  
• Cross-validation, bias-variance trade-off
  
• Deep Learning:
  
• CNNs, RNNs, Transformers
  
• Hands-on PyTorch / TensorFlow
  
• GenAI & NLP:
  
• LLMs (GPT, LLaMA, Claude, etc.)
  
• Embeddings, RAG, vector databases
  
• Prompt engineering, model fine-tuning
  
• Programming:
  

• Python (NumPy, Pandas, Scikit-learn)

• PyTorch/TensorFlow

• SQL

• MLOps:
  
• CI/CD
  
• Model deployment & monitoring
  
• Lifecycle management
  
• Version control (Git) and cloud ML platforms (AWS/GCP/Azure)
  

Good to Have

• Experience with Hugging Face models
  
• Knowledge of Docker/Kubernetes
  
• Exposure to reinforcement learning
  
• Experience with A/B testing or experimentation frameworks
  

Required Candidate Information

(For screening mandatory)

• Total Experience
  
• Relevant DS/ML Experience
  
• Current CTC
  
• Expected CTC
  
• Notice Period (

  Immediate – 2 weeks only

  )
• Current Location
  
• Preferred Location
  
• LinkedIn Profile URL
  

How to Apply

Vijay.S@xebia.com