AI/ML Computational Science Sr Analyst

Accenture; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Accenture Philippines seeks an AI/ML Computational Science Sr Analyst to join the Technology for Operations team. You will apply generative AI, NLP and ML/DL techniques to build secure, scalable solutions that support clients’ operating models.

Strong collaboration with sales, delivery and engineering is essential. The role requires 5–8 years of experience, solid Python skills, and familiarity with AI tooling, cloud platforms, and model deployment.

Qualifications

• 5–8 years of experience in AI/ML and data-driven problem solving.
• Strong Python programming and ML/DL framework knowledge.
• Experience deploying models with API frameworks and containerization.

Responsibilities

• Analyze complex problems and develop AI-enabled solutions.
• Collaborate with Accenture teams across sales, delivery and engineering.
• Implement secure, scalable AI architectures and deployment pipelines.
• Translate business challenges into AI strategies and practical outcomes.
• Work with multiple stakeholders and manage shifting priorities.
• Contribute to observability, monitoring and model governance.

Skills

Generative AI

NLP

LLMs

Python

TensorFlow

PyTorch

Docker

Kubernetes

Cloud platforms

MLflow

CI/CD

Education

Graduation

Tools

LangChain

LlamaIndex

Langgraph

Microsoft AI Foundry

Vertex AI

Job description

Skill required:

Tech for Operations - Artificial Intelligence (AI)

Designation:

AI/ML Computational Science Sr Analyst

Qualifications:

Any Graduation

Years of Experience:

5 to 8 years

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

What would you do?

You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions.,Tech for Operations involves using technology to improve and streamline business operations. This role includes implementing software solutions, automating processes, and managing IT systems that support operational activities. It also involves analyzing data to optimize performance and ensure efficiency. The goal is to enhance productivity and operational effectiveness through the effective use of technology. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively.

What are we looking for?

• Exposure to Generative AI, Agentic AI , multi-agent system, Prompt Engineering, and orchestration frameworks and building agents (e.g., LangChain, LlamaIndex, Langgraph) and Microsoft AI foundry/AWS AI/GCP Vertex AI
• Hands-on experience with Natural Language Processing (NLP) and Large Language Models (LLMs)
• Experience with Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch, Keras)
• Strong programming skills in Python and familiarity with libraries such as NumPy, pandas, scikit-learn, Matplotlib, and Seaborn
• Experience with deploying AI models using FastAPI, Flask, or gRPC
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Experience with cloud platforms (AWS, Azure, GCP) and services like SageMaker, Vertex AI, Azure ML, sematic Karnel, Autogen
• Understanding of MLOps tools and practices (e.g., MLflow, DVC, Kubeflow, CI/CD pipelines)
• Ability to perform under pressure and manage multiple stakeholders
• Strong business acumen and ability to translate business challenges into AI solutions
• Excellent collaboration and communication skills across cross-functional teams
• Designing scalable and modular AI architectures
• Implementing CI/CD pipelines for ML workflows using tools like GitHub Actions, Jenkins, or Azure DevOps
• Working with vector databases (e.g., Pinecone, FAISS) for semantic search and RAG pipelines
• Applying model optimization techniques (e.g., ONNX, TensorRT, quantization, distillation)
• Implementing observability and monitoring using Prometheus, Grafana, Arize AI, or WhyLabs
• Understanding of responsible AI practices (e.g., fairness, explainability, bias detection)

Roles and Responsibilities:

• In this role you are required to do analysis and solving of increasingly complex problems
• Your day to day interactions are with peers within Accenture
• You are likely to have some interaction with clients and/or Accenture management
• You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments
• Decisions that are made by you impact your own work and may impact the work of others
• In this role you would be an individual contributor and/or oversee a small work effort and/or team
• Please note that this role may require you to work in rotational shifts

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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