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Open nowPosted 170 days ago

AI Engineer

Minfy Technologies92 open roles

Where
Gurugram
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Your applicationOpen nowAI EngineerMinfy Technologies · Gurugram

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 170 days ago

The posting

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
  • Working knowledge of Docker and exposure to Kubernetes-based deployments
  • Experience collaborating with ML engineers to operationalize models

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
  • Familiarity with tool-calling, agent orchestration, and workflow automation
  • Understanding the importance of:
  • Guardrails
  • Human-in-the-loop mechanisms
  • Logging and observability for agent behavior

Cloud Platform:

  • Working knowledge of key AWS services, including:
  • S3, Lambda, Redshift, IAM

Professional & Collaboration Skills

  • Strong Python programming skills and experience working with APIs
  • Ability to work effectively in cross-functional teams (product, engineering, analytics)
  • Willingness to learn quickly in a fast-evolving AI landscape
  • Comfortable taking technical guidance and implementing feedback
  • Clear communication of findings, limitations, and model behavior to non-technical stakeholders

Nice to Have

  • Initial exposure to AI governance, compliance, or ethical AI practices
  • Experience with monitoring LLM outputs and basic evaluation frameworks
  • Certifications in AWS, Machine Learning, or Data Science
  • Prior experience in enterprise or cloud-native environments
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