EY global is hiring for the of Associate AI ML ops Support Engineer in the Trivandrum office location . The more job details about the EY hiring as follows.
Role : Associate AI Support Engineer
Location : Trivandrum/ Pan India
Experience : Freshers/Early Careers
Salary : Best In Industry
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Qualification: BE/BTech/MCA/MSC or Any
Job Description
We are looking for a motivated and detail-oriented AI Engineer to join our team, focusing on MLOps practices and Generative AI applications. This role is ideal for early-career professionals who are passionate about building scalable AI pipelines, deploying models in production, and exploring cutting-edge GenAI technologies.
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
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- 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.
How To Apply for EY Hiring ?
Interested and Eligible candidates can apply to the posts of Associate AI Engineer as early as possible through online mode.
EY GDS Apply Link : Click Here
