Description
Job Role : AI Engineer with AI & ML Exp
Client Location : Hyderabad
Shift : 6 PM- 3 AM IST(Hybrid)
Joining : Earlier the best
Employment : Full-time
Overview
The Infra team requires an immediate hire of a AI Engineer to support the automation of IT infrastructure operations . There is an increasing demand to automate L1/L2 infra support processes, reduce manual interventions, and improve system availability and response times across critical HGV environments.
This role is essential to design, develop, and deploy AI-driven automation solutions for infrastructure monitoring, incident management, alert correlation, and self-healing use cases. Current team capacity is insufficient to address these requirements while also supporting ongoing BAU operations, creating delivery and operational risk.
Position Title : AI Engineer
Role Summary
MOURITech is 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.
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 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.
Mandatory Required Skills
- 7+ 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.
(ref:hirist.tech)
