ETIC, AI Engineer - Senior Associate
PricewaterhouseCoopers
Employer Active
Posted on 4 Dec
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Key Responsibilities
- Design, develop, and optimize machine learning pipelines, including classical ML and deep learning models, using frameworks like scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.
- Lead development of retrieval-augmented generation (RAG) systems, integrating vector databases (e.g., FAISS, Weaviate, Qdrant) and frameworks like LangChain, LangGraph or LlamaIndex.
- Fine-tune and adapt foundation models using techniques such as LoRA, PEFT, or instruction tuning for client-specific use cases.
- Generate and evaluate synthetic data to support model robustness, augmentation, and privacy-aware training.
- Build and expose AI models through RESTful APIs or microservices using FastAPI, Flask, or similar frameworks.
- Ensure end-to-end model lifecycle tracking using tools like MLflow, Weights & Biases, or SageMaker Experiments.
- Deploy models to cloud infrastructure (e.g., AWS, Azure, GCP) with attention to scalability, cost, and performance.
- Collaborate with front-end developers and data teams to integrate AI features into products and platforms.
- Review code, guide best practices in Git workflows, and contribute to team-level documentation and standards.
- Communicate effectively with business stakeholders, translating complex AI concepts into actionable insights.
Desired Candidate Profile
Required Skills & Qualifications
- Bachelor s degree in Computer Science, Engineering, Data Science, Mathematics or related technical field.
- 3+ years of experience developing AI/ML solutions in production environments.
- Strong programming skills in Python, with a proven track record using libraries like NumPy, Pandas, scikit-learn, PyTorch, and Transformers.
- Hands-on experience with LLMs (e.g., GPT, LLaMA, Mistral), prompt engineering, and GenAI application development.
- Experience building RAG pipelines, integrating with vector databases, and working with LangChain, LlamaIndex, or similar frameworks.
- Experience with utilizing multi-modal data for training ML models and building AI applications.
- Familiarity with fine-tuning models and optimizing performance for NLP or computer vision tasks.
- Understanding of MLOps practices, including containerization (Docker), CI/CD workflows, and model monitoring.
- Experience deploying models on cloud platforms like AWS SageMaker, Bedrock, GCP Vertex AI, or Azure AI Services.
- Strong communication skills and experience working in Agile teams or consulting environments.
Preferred Skills
- Experience with Cloud Services, storage blobs, virtual machines, etc.
- Experience implementing LLM-based agents, chat applications, or autonomous workflows.
- Exposure to tools like Kubernetes, Terraform, or Databricks.
- Background in model evaluation, bias mitigation, explainability, and responsible AI practices.
- Prior experience mentoring junior engineers or leading small project teams.
Company Industry
- Accounting & Auditing
Department / Functional Area
- IT Software
Keywords
- ETIC
- AI Engineer - Senior Associate
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PricewaterhouseCoopers
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