Data Scientist

Jain International Trade Organisation - India; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Jain International Trade Organisation - India is looking for a Data Scientist with 5-8 years of experience to join their team in Gurugram. The role focuses on developing generative AI applications and involves hands-on experience with ML models.

The ideal candidate holds a Bachelor’s or Master’s degree and has extensive knowledge of statistics, data science, and machine learning operations, including experience with Amazon SageMaker and common ML frameworks.

Qualifications

• 5–8 years of professional experience in Data Science, Machine Learning, or Applied AI.
• Hands-on experience building, training, and deploying ML models in production environments.
• Ability to translate business requirements into data-driven solutions.

Responsibilities

• Develop LLM-powered applications using Amazon Bedrock or similar platforms.
• Build or contribute to Retrieval-Augmented Generation (RAG) pipelines.
• Implement simple autonomous agents or workflows.

Skills

Machine Learning

Data Science

Statistics

MLOps

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics

Tools

Amazon SageMaker

scikit-learn

TensorFlow

PyTorch

AWS services (S3, Lambda)

Job description

Minfy Technologies • Gurugram • Posted 1 day ago • Updated 1 day ago

Job Type: FullTimePermanent

Location: Gurugram

Work Mode: Onsite

Experience: Management

Travel Requirements:

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Strong academic foundation in statistics, probability, and machine learning
• Core Experience: 5–8 years of professional experience in Data Science, Machine Learning, or Applied AI
• Hands‑on experience building, training, and deploying ML models in production environments
• Strong understanding of data preprocessing, feature engineering, and model evaluation
• Experience working on end‑to‑end ML workflows under guidance of senior/principal team members
• Ability to translate business and product requirements into data‑driven solutions
• Machine Learning & MLOps
  • Practical experience using Amazon SageMaker for:
    • Model training and tuning
    • Model deployment and inference
  • Experience with common ML algorithms using scikit‑learn, TensorFlow, or PyTorch
  • Familiarity with MLOps concepts such as:
    • Model versioning
    • Experiment tracking
    • Basic monitoring and retraining workflows

Responsibilities

• Generative AI & LLMs
  • Hands‑on experience developing LLM‑powered applications using Amazon Bedrock or similar platforms
  • Experience building or contributing to Retrieval‑Augmented Generation (RAG) pipelines, including:
  • Document ingestion and chunking
  • Embedding generation
  • Similarity search using vector databases
  • Practical knowledge of prompt engineering, prompt tuning, and output evaluation
  • Understanding of common LLM failure modes such as hallucinations and grounding issues
  • Ability to evaluate LLM responses for accuracy, relevance, and safety
• Agentic AI (Growing Expertise)
  • Exposure to Agentic AI concepts and frameworks such as AgentCore
  • Experience implementing:
    • Simple autonomous agents or workflows
    • Multi‑step reasoning with predefined tools
    • Tool‑calling, agent orchestration, and workflow automation
  • Understanding the importance of guardrails, human‑in‑the‑loop mechanisms, logging, and observability for agent behaviour
  • Cloud Platform: Working knowledge of key AWS services, including:
  • S3
  • Lambda
  • R