S&C Global Network - AI - Song - Marketing Platform- Analyst

Requirements:

• 2–8 years of experience in AI/ML, backend data engineering, with some experience leading projects or small teams preferred.
• Strong expertise in Python, with extensive experience in data manipulation, ML frameworks, and productionizing code.
• Practical experience building and fine-tuning LLMs for various NLP applications.
• Solid grasp of NLP concepts: tokenization, embedding, text classification, NER, sentiment analysis, etc.
• Familiarity with agentic development (e.g., agent frameworks, multi-agent collaboration, task orchestration).
• Experience with common data science and ML tools/libraries: Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.
• Proficient in building RESTful APIs and integrating AI services.
• Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps workflows is a plus.

Good to have:

• Exposure to knowledge graphs, retrieval-augmented generation (RAG), or hybrid AI architectures.
• Experience with prompt engineering and custom LLM deployments.
• Background in domain-specific NLP (Supply Chain, Healthcare, Finance, Legal, etc.).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.

Soft Skills

• Strong analytical skills
• Good team player
• Attention to details
• Good communication skills

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition