GenAI Engineer

PwC MalaysiaKuala Lumpur, Kuala Lumpur, Malaysia

18 jam yang lalu

Penerangan pekerjaan

Senior Associate GenAI Software Engineer (PwC US)

Position Overview

Join PwC US – Acceleration Center to lead the next wave of enterprise AI innovation. As a Senior Generative AI Developer / Lead, you will architect, develop, and deploy cutting‑edge AI‑powered applications. Your expertise with generative models, deep learning, and data analysis will be critical to creating transformative enterprise solutions. This hands‑on leadership role provides the opportunity to drive full‑stack development and seamless integration with enterprise platforms.

Key Responsibilities

Collaborate across teams : Partner with cross‑functional groups to understand business requirements and identify opportunities for GenAI technology.
Develop algorithms : Design and build advanced deep learning algorithms for generative models.
Integrate AI solutions : Incorporate generative AI into existing workflow systems for smooth adoption.
Research advancements : Stay up to date with the latest generative AI technologies and methodologies.
Optimize performance : Fine‑tune and enhance generative models for peak performance and efficiency.
Troubleshoot implementations : Diagnose and resolve issues related to generative AI models and deployments.
Documentation : Create and maintain comprehensive documentation detailing generative AI models and their applications.
Communicate findings : Translate complex technical concepts for non‑technical stakeholders.

Required Qualifications

Experience : 3+ years in data science or applied ML with shipped solutions; strong Python proficiency.

Practical LLM experience : Building RAG pipelines, prompt / chain design, and experience with supervised or adapter‑based tuning (LoRA / QLoRA).

NLP / ML Tooling : Proficiency with PyTorch or TensorFlow, scikit‑learn, and the Hugging Face ecosystem.

Web development : Familiarity with Python web frameworks (Flask, FastAPI) for AI model web applications.

Cloud‑native development : REST APIs, microservices, serverless functions.

Retrieval & vector search : Experience with embeddings, vector databases, and ranking / re‑ranking techniques.

Evaluation & experimentation : Designing metrics, A / B testing with sound statistical methods.

Data skills : Strong SQL abilities; working with data lakes / warehouses and orchestration tools.

MLOps / LLMOps : Experiment tracking (MLflow / Weights & Biases), model packaging, CI / CD for ML, monitoring, and incident response.

Cloud deployment : Experience with Azure and / or AWS; containerization with Docker and Kubernetes.

Communication : Ability to translate business needs into technical plans and communicate results clearly to diverse audiences.

Preferred Skills

Fine‑tuning & data generation : Dataset curation, synthetic data creation, RLHF / RLAIF exposure.

Agents & tool‑use : Function calling, planning, orchestration of multi‑step agents.

Performance engineering : Model distillation, quantization, ONNX / Triton, Ray for scaling.

Event‑driven integration : Kafka / Event Hubs, streaming inference with backpressure and retries.

Certifications : Azure AI Engineer / Data Scientist, Databricks, or AWS ML Specialty.

Professional & Educational Background

BE / B.Tech / MCA / M.Sc / ME / M.Tech / MBA or equivalent practical experience in Computer Science, Data Science, Statistics, Engineering, or related fields.

Why Join PwC US?

You’ll have the opportunity to make a significant impact and contribute to the success of transformative GenAI projects. Experience a collaborative and innovative environment where you can expand your skills and advance your career.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Industries

IT Services and IT Consulting

#J-18808-Ljbffr

Buat amaran kerja untuk carian ini

Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia