EY Global Off Campus Drive 2026: Apply Now
EY Global Off Campus Drive 2026: Associate AI Engineer
EY Global is conducting an off-campus drive for the position of Associate AI ML Ops Support Engineer in Trivandrum. This is a great opportunity for freshers and early career professionals looking to build a career in the field of Artificial Intelligence and Machine Learning. Let’s explore the job details.
Job Overview
- Role: Associate AI Support Engineer
- Location: Trivandrum/ Pan India
- Experience: Freshers/Early Careers
- Salary: Best In Industry
- Qualification: BE/BTech/MCA/MSC or Any Equivalent Degree
Job Description
EY is seeking a motivated and detail-oriented AI Engineer to join their team, with a focus on MLOps practices and Generative AI applications. This role is ideal for early-career professionals passionate about building scalable AI pipelines, deploying models in production, and exploring cutting-edge GenAI technologies. You will be responsible for assisting in designing and implementing MLOps pipelines for model training, validation, deployment, and monitoring.
Key Responsibilities
- Assist in designing and implementing MLOps pipelines for model training, validation, deployment, and monitoring.
- Support the development and fine-tuning of Generative AI models (e.g., LLMs, diffusion models) for internal and client-facing use cases.
- Automate data ingestion, preprocessing, and feature engineering workflows.
- Collaborate with data scientists and software engineers to operationalize AI models using CI/CD tools.
- Monitor model performance and manage versioning, rollback, and retraining strategies.
- Contribute to prompt engineering, model evaluation, and safety testing for GenAI systems.
- Document workflows, APIs, and deployment strategies for reproducibility and scalability.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field.
- Solid programming skills in Python and familiarity with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Basic understanding of MLOps concepts such as model lifecycle management, containerization (Docker), and orchestration (e.g., Airflow, Kubeflow).
- Exposure to Generative AI models and frameworks (e.g., Hugging Face Transformers, LangChain).
- Familiarity with Git, REST APIs, and cloud platforms (AWS, Azure, or GCP).
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Internship or academic project experience in MLOps or GenAI.
- Experience with ML model deployment using FastAPI, Flask, or Streamlit.
- Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
- Exposure to monitoring tools (e.g., MLflow, Prometheus, Grafana).
- Understanding of data privacy, model interpretability, and responsible AI principles.
Skills and Competencies
To excel in this role, consider developing skills such as:
- Programming Proficiency: Strong Python skills and familiarity with ML libraries.
- MLOps Knowledge: Understanding of model lifecycle management and deployment strategies.
- Cloud Computing: Experience with AWS, Azure, or GCP.
- Generative AI: Exposure to models like LLMs and diffusion models.
- Problem-Solving: Analytical skills to tackle complex AI challenges.
Example Table of Skills
| Skill | Description |
|---|---|
| Python | Proficient in writing clean, efficient, and well-documented Python code. |
| MLOps | Understanding of CI/CD pipelines, containerization, and orchestration tools. |
| Cloud Computing | Experience deploying and managing AI models on cloud platforms. |
How to Apply for EY Hiring?
Interested and eligible candidates can apply for the Associate AI Engineer position as soon as possible through the online mode.
EY GDS Apply Link: Click Here
Additional Information
This role offers a unique opportunity to work with cutting-edge AI technologies and contribute to impactful projects. EY provides a supportive and collaborative environment, encouraging continuous learning and professional growth. The Associate AI Engineer will be involved in various stages of AI model development, from data preprocessing to deployment and monitoring.
Career Growth
This position provides a solid foundation for career advancement within EY’s AI and data science teams. Opportunities may include:
- Senior AI Engineer
- MLOps Engineer
- Data Scientist
- AI Architect
Benefits of Working at EY
- Competitive salary and benefits package
- Opportunities for professional development and training
- Exposure to diverse and challenging projects
- Collaborative and supportive work environment
- Global career opportunities
By joining EY as an Associate AI Engineer, you will be part of a team that is shaping the future of AI and making a positive impact on businesses worldwide.