Accenture AI ML Associate 2026 | 2 Openings, 0–1 Year | Bengaluru – Apply Now: Accenture AI ML Associate 2026 hiring is currently open in Bengaluru for the position of AI/ML Computational Science Associate. Accenture has two live requisitions for this opportunity — AIOC-S01665346 and AIOC-S01665345.
The role is listed under Tech for Operations – Artificial Intelligence and is suitable for candidates with a BE/BTech qualification and 0 to 1 year of experience. Accenture also mentions that it is looking for fresh graduates.
Despite the AI/ML title, candidates should carefully understand the actual responsibilities before applying. The job description primarily focuses on Python application development, REST APIs, backend services, debugging, automation, data processing, and reporting. It does not specifically describe machine-learning model training or ML pipeline ownership.
Accenture AI ML Associate 2026 is a useful opportunity for fresh BE/BTech graduates who want to start their career in Python development, backend services, automation, and data-related solutions. However, candidates should not assume this is a pure Machine Learning Engineer role because the published responsibilities focus more on application development and technical delivery.
| Particulars | Details |
|---|---|
| Company | Accenture |
| Role | AI/ML Computational Science Associate |
| Job IDs | AIOC-S01665346, AIOC-S01665345 |
| Location | Bengaluru, Karnataka |
| Qualification | BE / BTech |
| Experience | 0–1 Year |
| Career Area | Tech for Operations – Artificial Intelligence |
| Freshers Eligible | Yes |
| Programming Language | Python |
| OOP | Required |
| Data Structures & Algorithms | Basic Knowledge |
| SQL | Basic Knowledge |
| REST APIs | Basic Understanding |
| Git | Required |
| SDLC | Basic Awareness |
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Accenture is a global professional services and technology company providing consulting, technology, operations, and digital transformation services to organizations worldwide.
Its technology teams work across areas including cloud, data, artificial intelligence, software engineering, cybersecurity, automation, and enterprise technology solutions.
The AI/ML Computational Science Associate role sits within Accenture’s technology and operations environment. Selected candidates will work with experienced development teams and contribute to real-world application and automation projects.
The position involves developing and maintaining Python applications, assisting with REST APIs and backend services, debugging technical issues, and supporting data processing and reporting solutions.
Candidates can also gain exposure to areas such as cloud, data engineering, and AI, while working in a collaborative client-delivery environment.
The major responsibilities include:
- Develop, test, and maintain Python-based applications and scripts.
- Participate in coding, debugging, and troubleshooting activities.
- Assist in developing REST APIs and backend services.
- Support automation and process improvement initiatives.Work on data processing, reporting, and analytics solutions.
- Participate in code reviews and follow established coding standards.
- Collaborate with cross-functional teams to understand requirements.
- Prepare technical documentation and project updates.
- Learn and adopt emerging technologies, tools, and frameworks.
- Work with experienced team members on project deliverables.
- Contribute to client-focused technology solutions and improvements.
- Python: Strong fundamentals in Python are important because application and scripting work forms a major part of the role.
- Object-Oriented Programming: Revise concepts such as classes, objects, inheritance, polymorphism, abstraction, and encapsulation.
- Data Structures and Algorithms: Candidates should have basic knowledge of common data structures and fundamental problem-solving techniques.
- SQL and Databases: Understand basic SQL queries, joins, filtering, grouping, and fundamental database concepts.
- REST APIs: Know how REST APIs work, including HTTP methods, status codes, JSON, request/response structures, and basic API integration.
- Git: Be comfortable with common Git operations such as clone, add, commit, push, pull, branch, merge, and resolving basic conflicts.
- SDLC: Understand the basic stages of software development, including requirements, development, testing, deployment, and maintenance.
Candidates should meet the following requirements:
- Qualification: BE / BTech
- Experience: 0 to 1 year
- Freshers: Eligible
- Location: Bengaluru
- Programming: Good knowledge of Python
- OOP: Understanding of Object-Oriented Programming concepts
- DSA: Basic knowledge of Data Structures and Algorithms
- Database: Basic SQL and database concepts
- APIs: Basic understanding of REST APIs
- Version Control: Git
- SDLC: Basic awareness of Software Development Life Cycle
The job page header reportedly mentions 0–2 years, while the qualifications section states 0–1 year. Fresh graduates are explicitly included, but candidates closer to two years of experience should carefully review the live requisition before applying.
Candidates should nevertheless be prepared for possible stages such as:
- Online application
- Resume screening
- Assessment, if applicable
- Technical interview
- Communication or behavioral interview
- HR discussion
- Final selection
The actual recruitment process can vary depending on the hiring team and business requirements.
Documents Required for the Accenture AI ML Associate
- Updated resume/CV
- BE/BTech academic details
- Project information
- Internship or experience details, if applicable
- Technical skills
- Certifications, if applicable
- Contact information
- Other documents requested during the application process
Accenture has not disclosed a salary figure for either AIOC-S01665346 or AIOC-S01665345. Therefore, candidates should avoid treating unofficial CTC figures as confirmed information and should verify compensation during the recruitment process. Specific benefits for these requisitions have also not been published in the provided job information.
Applications are submitted online:
- Click the Apply link below and visit the official Accenture Careers website.
- Search for AIOC-S01665346.
- Review the AI/ML Computational Science Associate position.
- Complete the application form.
- Upload your updated resume.
- Enter your academic and professional details accurately.
- Submit the application.
- Search for AIOC-S01665345 and submit a separate application if the role matches your profile.
Candidates should apply as early as possible because Accenture may close requisitions once sufficient applications or candidates have been identified.
Apply Link – Job No. AIOC-S01665345
Apply Link – Job No. AIOC-S01665346
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- Master Python Fundamentals: Revise Python syntax, functions, collections, exception handling, modules, file handling, and object-oriented programming.
- Practise DSA: Work on arrays, strings, linked lists, stacks, queues, sorting, searching, recursion, and basic complexity analysis.
- Learn REST APIs: Understand HTTP methods, status codes, JSON, API requests/responses, authentication basics, and how to build or consume APIs.
- Revise SQL: Practise SELECT queries, joins, filtering, grouping, subqueries, and basic database concepts.
- Prepare a Python Project: Build or revise a project involving Python, APIs, databases, automation, or data processing and be ready to explain your contribution.
- Prepare for Behavioral Questions: Prepare examples demonstrating teamwork, problem-solving, adaptability, communication, handling deadlines, and willingness to learn.
1. Are freshers eligible for Accenture AI ML Associate 2026?
Yes. Accenture explicitly mentions fresh graduates, and the qualifications section lists 0 to 1 year of experience.
2. Is this a Machine Learning Engineer role?
Not based on the listed responsibilities. The role primarily involves Python application development, REST APIs, backend services, debugging, automation, and data processing, with exposure to AI and data engineering.
3. What qualification is required?
Candidates should have a BE or BTech qualification.
4. What skills are required?
Key skills include Python, OOP, basic DSA, SQL, databases, REST APIs, Git, and SDLC awareness. Python is the core technical requirement.
5. What are the job IDs?
The two requisitions are AIOC-S01665346 and AIOC-S01665345. Candidates should apply separately to each relevant opening.
6. What is the salary for Accenture AI ML Associate 2026?
Accenture has not disclosed the salary for these requisitions. Candidates should confirm compensation during the recruitment process.