Wednesday, November 19, 2025

EY Early Career Jobs 2025 | Apply for AI Support Engineer – Associate in Trivandrum | Placement Officer

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EY AI Support Engineer Associate Job 2025 in Trivandrum

EY Early Career Jobs 2025 | Apply for AI Support Engineer – Associate in Trivandrum | Placement Officer

📌 Summary

EY has announced its Early Career Hiring 2025 for the role of AI Support Engineer – Associate in Trivandrum, India. This role is perfect for early-career professionals passionate about MLOps, Generative AI, LLMs, ML pipelines, deployment, automation, and AI operations. Candidates with foundational knowledge in Python, ML frameworks, cloud platforms, CI/CD, and model development workflows will find this opportunity ideal for kickstarting a high-growth AI career.

🏢 About EY – Building a Better Working World

EY is a global leader in consulting, assurance, data-driven transformation, and technology-enabled innovation, operating in 150+ countries. Known for its inclusive and future-forward culture, EY empowers employees to grow their careers through impactful work and cutting-edge technologies.


📍 Job Overview – AI Support Engineer (Associate) | 2025

·         Job Title: AI Support Engineer – Associate

·         Job Location: Trivandrum (Thiruvananthapuram), India

·         Job ID: 1657189IND-Trivandrum

·         Service Line: Core Business Services

·         Employment Level: Early Career / Entry-Level

·         Work Mode: On-site

·         Experience Required: Early career / Internship or 0–2 years relevant exposure preferred

·         Eligibility: Bachelor’s degree in CS / DS / AI / ML or equivalent


📘 Detailed Job Description – AI Support Engineer (EY Trivandrum)

✔ Role Overview

EY is seeking a motivated AI / MLOps Engineer with a passion for Generative AI, model deployment, pipelines, CI/CD automation, and scalable AI systems. Ideal for tech professionals aiming to build production-grade AI systems.


🔧 Key Responsibilities

1️⃣ MLOps Pipeline Development

·         Build and support pipelines for model training, validation, deployment, monitoring.

2️⃣ Generative AI Model Development

·         Work on LLMs, diffusion models, GenAI applications.

·         Support fine-tuning and experimentation.

3️⃣ Data Pipeline Automation

·         Automate data ingestion, preprocessing, feature engineering workflows.

4️⃣ AI Operationalization

·         Deploy ML models using CI/CD tools, ensure scalability and reliability.

5️⃣ AI Model Monitoring

·         Track model performance, manage versioning, retraining, rollbacks.

6️⃣ Prompt Engineering & Safety Testing

·         Evaluate GenAI systems, content safety, and model robustness.

7️⃣ Technical Documentation

·         Document APIs, pipelines, deployment steps, and workflows.


🎓 Required Qualifications

·         Bachelor’s degree in:
✔ Computer Science
✔ AI/ML
✔ Data Science
✔ Related fields

·         Strong programming skills in Python

·         Familiarity with Scikit-learn, TensorFlow, PyTorch

·         Understanding of MLOps lifecycle, containerization (Docker), and orchestration tools (Airflow, Kubeflow)

·         Exposure to Generative AI frameworks such as:

o    Hugging Face

o    LangChain

·         Knowledge of Git, REST APIs, cloud platforms (AWS/Azure/GCP)

·         Strong analytical & problem-solving skills


🌟 Preferred Qualifications

·         Internship or project experience in MLOps or Generative AI

·         Deployment experience using FastAPI, Flask, Streamlit

·         Knowledge of FAISS, Pinecone, Vector Databases

·         Familiarity with monitoring tools:

o    MLflow

o    Prometheus

o    Grafana

·         Understanding of:

o    Responsible AI

o    Explainability

o    Privacy principles


🎯 Essential Skills Required to Crack the Role

Technical Skills

·         Python scripting

·         ML model building

·         LLM understanding

·         Docker, CI/CD pipelines

·         Cloud fundamentals

·         ML monitoring

·         API development

Soft Skills

·         Critical thinking

·         Documentation ability

·         Collaboration with cross-functional teams

·         Attention to detail

·         Communication skills


🎓 Batches Eligible

Based on the job description, eligible candidates generally include:
2022, 2023, 2024, and 2025 graduates (Bachelor’s degree holders in CS/AI/ML/DS)

 

👉 Expected Salary Range: 5.5 LPA – 9 LPA

·         Average Salary: 7.2 LPA

·         Higher for candidates with GenAI or strong MLOps exposure

 

💡 Pro Tips to Get Shortlisted at EY

✔ Include Python, MLOps, LLMs, Git, Docker, Cloud skills in your resume
✔ Add project links (GitHub / Colab / Kaggle)
✔ Mention experience with LangChain, Hugging Face, vector databases
✔ Prepare for questions on model deployment & monitoring
✔ Keep a well-documented ML project with end-to-end pipeline
✔ Practice explaining MLOps lifecycle clearly
✔ Show familiarity with GenAI safety, prompt engineering


❓ FAQs – EY AI Support Engineer (Associate) 2025

1. Is this a fresher-friendly role?

Yes, it is an early-career role, ideal for fresh graduates with relevant academic or project experience.

2. What is the job location?

Trivandrum (Thiruvananthapuram).

3. What skills are required?

Python, ML frameworks, MLOps basics, Docker, cloud, CI/CD, Git, APIs, GenAI exposure.

4. What is the expected salary?

5.5 LPA – 9 LPA depending on skills & project experience.

5. Is experience mandatory?

Not strictly, but internships/projects in AI/ML/MLOps are preferred.


✅ Conclusion – Should You Apply?

If you are passionate about AI, MLOps, Generative AI, LLMs, cloud integration, and scalable model deployment, then the EY AI Support Engineer – Associate role is a perfect opportunity to launch or strengthen your AI career. EY offers excellent learning resources, global exposure, and a future-ready tech environment—making it one of the best early-stage AI career paths. 

🔗 Apply Link: Click Here To Apply for EY

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

#EYJobs #EYHiring2025 #AICareers #MachineLearningJobs #MLOpsJobs #GenerativeAI #TrivandrumJobs #TechJobs2025 #EarlyCareerJobs

 

 

 

 

 

 

 

 

 

 

  





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