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GMS-Manager-AI Engineer
Ernst & Young
posted 7d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are seeking an experienced AI Engineer / Data Scientist to lead asset development, data science product building, and rapid prototyping. This role focuses on leveraging LLMs, ML/DL techniques, and Azure cloud to deliver scalable, impactful solutions. You will play a pivotal role in problem formulation, data analysis, solution design, and mentoring junior team members.
Key Responsibilities
Key Responsibilities
- Develop reusable AI/ML models and end-to-end data science assets / products.
- Build and deploy LLM-based applications, including fine-tuning, prompt engineering, and RAGs.
- Translate domain challenges into data science problems with actionable solutions.
- Perform exploratory data analysis (EDA) to design optimal approaches.
- Rapidly prototype and iterate using ML/DL and LLMs.
- Deploy and manage models in Azure cloud environments.
- Mentor junior team members to foster growth and ensure quality deliverables
LLM Tools & Frameworks
- Pretrained LLMs OpenAI (GPT series), Gemini, LLaMMa, DALL-E, Hugging Face Transformers, T5, BERT, RoBERTa, etc.
- Fine-tuning Frameworks Hugging Face Trainer, LoRA, PEFT etc.,
- Prompt Engineering Tools LangChain, LangGraph, Semantic Kernel, Guidance etc.,
- Vector Databases Pinecone, Weaviate, FAISS, Chroma etc.,
- LLM Evaluation Tools OpenAI Evaluation Toolkit, Language Model Evaluation Harness etc.,
- Retrieval Mechanisms BM25, Dense Passage Retrieval (DPR), Hybrid Search etc.,
Machine Learning & Deep Learning
- Algorithms XGBoost, LSTM, CNN, Transformers, Random Forests etc.,
- Techniques Transfer learning, Hyperparameter tuning, model training, and deployment.
Programming, Databases, and Frameworks
- Languages Python
- ML/DL Frameworks PyTorch, TensorFlow
- Libraries NumPy, Pandas, Scikit-learn
- API Development FastAPI, Flask
- Databases SQL, NoSQL (MongoDB, Cassandra)
Cloud & Deployment
- Cloud Platforms Azure Machine Learning, Azure Functions, Azure Databricks.
- Containerization Docker
Required Skills
- Strong experience in managed service project transformation.
- Expertise with Pretrained LLMs, fine-tuning, RAGs, and deployment.
- Proficiency in Azure cloud environment, including model hosting and scaling.
- Advanced skills in Python, ML/DL frameworks
- Strong problem-solving, data analysis, and domain modelling capabilities.
- Demonstrated ability to mentor junior team members effectively.
Preferred Skills
- Experience with knowledge graphs, semantic search, and conversational AI.
- Familiarity with edge AI and real-time model inferencing.
- Knowledge of domain-driven design and advanced deployment strategies.
Employment Type: Full Time, Permanent
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What people at Ernst & Young are saying
AI Engineer salary at Ernst & Young
reported by
4
employees
with 3-4
years exp.
₹11.4
L/yr - ₹22
L/yr
36%
more
than the average AI Engineer Salary in India
View more details
What Ernst & Young employees are saying about work life
based on 10.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
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Ernst & Young Bangalore / Bengaluru Office Locations
Bangalore Office
Ernst & Young, 3rd Floor, Tower C, RMZ Infinity Municipal No. 3, Survey No 1477/2 & 10, Old Madras Road, Benniganahalli, K.R. Puram
Bangalore
Karnataka 560016
Karnataka 560016
Bengaluru Office
Ernst & Young
Tower C, 3rd Floor, RMZ Infinity
Municipal No. 3, Old Madras Road
Survey No 1477/2 & 10
Benniganahalli, K.R. Puram
560016 Bengaluru
Ernst & Young
UB City, Canberra Block
12th & 13th Floor
No. 24, Vittal Mallya Road
Bengaluru
Bengaluru
560001
560001
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