IN_Associate_AI Engineer_GCC( D&A)_Advisory_Bangalore (India)
Posted Updated
Description
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<col width="396" style="width:297pt;" />
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<td height="34" class="xl64" width="266" style="height:25.5pt;width:200pt;">Job
Description & Summary: </td>
<td class="xl65" width="396" style="border-left:none;width:297pt;">PwC India is
seeking a skilled and detail-oriented Ai Engineer to drive the successful
translation of business needs into actionable requirements and effective
solutions. This role demands a combination of strong analytical capabilities,
business insight, and excellent communication skills to partner with
stakeholders across functions. The ideal candidate will work closely with
project managers, developers, and business teams to analyze processes,
identify improvement opportunities, and ensure the delivery of impactful
business solutions. The Business Analyst will play a key role in facilitating
collaboration, supporting change management, and enabling data-driven
decision-making to help achieve strategic objectives.</td>
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<td height="58" class="xl66" style="height:43.5pt;">Job Position Title:</td>
<td class="xl67" width="396" style="border-left:none;width:297pt;">IN_Associate_AI
Engineer_GCC( D&A)_Advisory_Bangalore (India)</td>
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<td height="48" class="xl66" style="height:36pt;border-top:none;">Responsibilities:</td>
<td class="xl68" width="396" style="border-top:none;border-left:none;width:297pt;">Advanced
proficiency in Python. <br />
Extensive experience with LLM frameworks (Hugging Face Transformers,
LangChain) and prompt engineering techniques <br />
Experience with big data processing using Spark for large-scale data
analytics <br />
Version control and experiment tracking using Git and MLflow <br />
Software Engineering & Development: Advanced proficiency in Python,
familiarity with Go or Rust, expertise in microservices, test-driven
development, and concurrency processing. <br />
DevOps & Infrastructure: Experience with Infrastructure as Code
(Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and
container orchestration (Kubernetes) with Helm and service mesh
implementations. <br />
LLM Infrastructure & Deployment: Proficiency in LLM serving platforms
such as vLLM and FastAPI, model quantization techniques, and vector database
management. </td>
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<td height="41" class="xl66" style="height:31pt;border-top:none;">Mandatory
skill sets:</td>
<td class="xl68" width="396" style="border-top:none;border-left:none;width:297pt;">Deep
understanding of ML and LLM development lifecycle, including fine-tuning and
evaluation <br />
Expertise in feature engineering, embedding optimization, and
dimensionality reduction <br />
Advanced knowledge of A/B testing, experimental design, and statistical
hypothesis testing <br />
Experience with RAG systems, vector databases, and semantic search
implementation </td>
</tr>
<tr style="height:31.5pt;">
<td height="42" class="xl66" style="height:31.5pt;border-top:none;">Preferred
skill sets:</td>
<td class="xl68" width="396" style="border-top:none;border-left:none;width:297pt;">Advanced
proficiency in Python. </td>
</tr>
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<td height="39" class="xl66" style="height:29.15pt;border-top:none;">Years of
experience required:</td>
<td class="xl69" style="border-top:none;border-left:none;">2 - 4 Years</td>
</tr>
<tr style="height:27.65pt;">
<td height="37" class="xl66" style="height:27.65pt;border-top:none;">Education
qualification:</td>
<td class="xl69" style="border-top:none;border-left:none;">BE / B.Tech / MCA /
M.Tech / MBA</td>
</tr></tbody></table>
Skills
- A/B Testing
- AI
- Analytics
- Big Data
- CI/CD
- CloudFormation
- Data Analytics
- DevOps
- FastAPI
- Feature Engineering
- Fine Tuning
- Git
- GitHub
- GitHub Actions
- Helm
- Hugging Face
- Infrastructure as Code
- Jenkins
- Kubernetes
- LangChain
- LLM
- Machine Learning
- Microservices
- MLflow
- Prompt Engineering
- Python
- Quantization
- RAG
- Rust
- Semantic Search
- Spark
- TDD
- Terraform
- Transformers
- Vector Databases
- Version Control
- vLLM
