Senior AI Engineer

Mouri Tech

Hyderabad

Hybrid

INR 4,500,000 - 6,500,000

Full time

13 days ago

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Job summary

Mouri Tech seeks an experienced Senior AI Engineer to design, develop, and deploy advanced AI solutions across marketing, sales, operations, and member experience. You will partner with Data Science, Product, and Engineering teams to deliver scalable AI products while upholding responsible AI practices.

The role requires 5 to 8+ years in AI/ML, expert Python, and production deployment experience in cloud environments (Azure preferred).

Qualifications

  • 5 to 8+ years of hands-on AI/ML engineering experience.
  • Expert Python and software engineering practices (testing, packaging, code review).
  • Expertise with NLP/LLMs.
  • Experience deploying models to production (batch and/or real-time) in cloud environments (Azure preferred).
  • Strong understanding of model evaluation, monitoring concepts, and data/feature quality.

Responsibilities

  • Design, build, and deploy AI/ML solutions leveraging LLMs, NLP, forecasting, personalization, and generative AI use cases.
  • Translate business problems into technical designs, model architectures, and scalable services.
  • Work with ML Ops to operationalize models through CI/CD, model registries, and repeatable training pipelines.
  • Develop APIs and batch scoring jobs; ensure performance, latency, and cost targets.
  • Apply responsible AI practices and ensure compliance with data privacy and internal standards.

Skills

AI/ML engineering
Python
NLP/LLMs
Production deployment
CI/CD
Model evaluation
Communication

Education

Bachelor's or Master's in CS/Engineering/Statistics

Tools

PyTorch
TensorFlow
Azure ML
Databricks
MLflow
Vector databases

Job description

Position Title: Senior AI Engineer

Role Summary:

Seeking an innovative and highly skilled AI Engineer to design, develop, and deploy advanced AI solutions that elevate our Data Science capabilities. This role will partner with Data Science, Product, and Engineering to deliver scalable AI products across marketing, sales, operations, and member experience, while ensuring security, reliability, and responsible AI practices.

Work Hours and Location: Must be willing to work from the Hyderabad office on Eastern Standard Time Zone


Key Responsibilities:

AI Solution Engineering:

  • Design, build, and deploy AI/ML solutions leveraging LLMs, NLP, forecasting, personalization, and generative AI use cases.
  • Translate business problems into technical designs, model architectures, and scalable services.

Model Development & Optimization:

  • Implement and train deep learning models (e.g., transformers, sequence models) using PyTorch/TensorFlow.
  • Run experiments, hyperparameter tuning, and evaluation; document results and recommendations.

Production Integration:

  • Work with ML Ops to operationalize models through CI/CD, model registries, and repeatable training pipelines.
  • Develop APIs and batch scoring jobs; ensure performance, latency, and cost targets.

Governance & Responsible AI:

  • Apply responsible AI practices: bias assessment, explainability where needed, and model risk documentation.
  • Ensure compliance with data privacy, security, and internal standards.

Technical Qualifications Needed:

Education:

  • Bachelors or Masters degree in Computer Science, Engineering, Statistics, or a related field.

Mandatory Required skills:

  • 5 to 8+ years of hands-on experience in AI/ML engineering or applied machine learning.
  • Expert Python and strong software engineering practices (testing, packaging, code review).
  • Expertise with NLP/LLMs.
  • Experience deploying models to production (batch and/or real-time) in cloud environments (Azure preferred).
  • Strong understanding of model evaluation, monitoring concepts, and data/feature quality.

Desired Skills:

  • Experience with Azure Machine Learning, Databricks, MLflow, and vector databases.
  • Experience building retrieval-augmented generation (RAG) systems and prompt evaluation.
  • Strong communication skills with ability to explain technical concepts to business stakeholders.

Certifications

  • Azure AI Engineer Associate and/or relevant machine learning certifications preferred.
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