AI/ML Engineer – Are you passionate about building your career in the AI/ML Engineer then Accenture is hiring the AI/ML Engineer for its fast growing team. This is a full-time position based in Bengaluru, offering a competitive compensation package along with excellent career growth opportunities. For more information read the entire article and follow on LinkedIn.
About the Accenture Company
Accenture is a leading global professional services company that helps organizations transform their businesses through technology, innovation, and digital solutions. With expertise spanning strategy, consulting, technology, operations, and cybersecurity, Accenture partners with clients across industries to solve complex challenges and drive sustainable growth. The company fosters a collaborative and inclusive work environment where employees are encouraged to develop their skills, embrace innovation, and contribute to impactful projects that shape the future of business and technology.
- Role : AI/ML Engineer
- Location : Bengaluru
- Employee Type : Full Time , Permanent
- Department : IT & Technology
- Experience : 5 – 10 Years
- CTC – Not Mentioned
- Link to Apply – Accenture – AI/ML Engineer
Job Highlights for AI/ML Engineer
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline from a recognized institution.
- Candidates should possess a strong academic background, including a minimum of 15 years of full-time formal education.
- The recruitment process may incorporate AI-powered technologies to assist with application screening, resume assessment, and candidate evaluation.
- Professionals with 5–10 years of relevant industry experience are encouraged to submit their applications.
- Minimum 5 years of experience is mandatory.
- Candidates must be proficient in the Machine Learning (ML) field.
- Design, build, and maintain high-quality applications and systems that leverage artificial intelligence technologies and cloud-based AI services.
- Develop scalable cloud or on-premises deployment pipelines and ensure solutions are optimized, reliable, and ready for production environments.
- Design and develop innovative applications that integrate Generative AI technologies and intelligent automation solutions.
- Apply advanced AI techniques, including large language models, deep learning, neural networks, conversational AI, and computer vision, to build scalable and impactful business solutions.
Job Description for AI/ML Engineer
- Collaborate with clients to obtain additional details, address data discrepancies, and align on analytical methods and solution strategies.
- As an AI/ML Engineer, candidates should design, build, and deploy intelligent applications that utilize artificial intelligence technologies and cloud-based AI platforms.
- The role involves developing scalable, production-grade solutions using Generative AI, machine learning, deep learning, and neural network frameworks.
- Applicants may also contribute to projects involving conversational AI, computer vision, and advanced data-driven systems.
- Working closely with multidisciplinary teams, candidates will help deliver innovative, high-performance solutions that address business challenges while ensuring reliability, scalability, and operational excellence.
- Serve as a subject matter expert, providing technical guidance and domain knowledge to support project objectives.
- Lead and collaborate with team members to drive performance and achieve successful outcomes.
- Take ownership of critical team activities and contribute to operational and strategic decision-making.
- Partner with cross-functional teams and stakeholders to support key initiatives and business objectives.
- Identify challenges and develop effective solutions that benefit both the immediate team and broader organizational functions.
- Support the professional growth of team members through coaching, knowledge sharing, and mentorship.
- Regularly assess workflows, systems, and processes to identify opportunities for optimization and continuous improvement.
Desired Skill for AI/ML Engineer
- Professionals with 5–10 years of relevant industry experience are encouraged to submit their applications.
- Minimum 5 years of experience in Machine Learning is mandatory.
- Excellent communication and interpersonal skills, with the ability to engage effectively with senior leaders, clients, and key stakeholders.
- Self-driven, adaptable, and results-oriented professional with a strong sense of ownership and accountability.
- Demonstrates curiosity, creativity, and a willingness to learn in a collaborative team environment.
- Strong problem-solving abilities with a practical mindset and an understanding of broader business objectives.
- Comfortable working in a dynamic, fast-paced environment while managing changing priorities effectively.
- Ability to collaborate across teams and contribute to achieving organizational goals.
- AI-assisted tools may be used during certain stages of the recruitment process, including application screening and candidate evaluation; however, all final hiring decisions are made by the hiring team.
- Candidates may request additional information regarding the collection, use, and management of their application data.
- BE/BTech, ME/MTech, BCA/MCA or any computer science related degree with 15 years of full time education qualification from a well-known institute.
- Solid experience in Machine Learning and AI model development.
- Demonstrated expertise in utilizing deep learning frameworks, including TensorFlow, PyTorch, and related technologies.
- Experience deploying AI solutions on cloud platforms including AWS, Azure, or Google Cloud.
- Strong understanding of data preprocessing, feature engineering, and model optimization techniques.
- Ability to develop and improve algorithms for scalable AI applications.

Read More | Google – Security Analyst, Enterprise Security Operations
Education
- UG: Any Graduate
- PG: Any Postgraduate
Skills for AI/ML Engineer
- Artificial Intelligence
- Machine Learning
- Monitoring
- Recruiting
- Stress Testing
- AWS
- Azure
- Cloud Platform
- Version Control Tools
- TensorFlow
- Pytorch
- AI Tools
Additional Information
Accenture is an equal opportunity employer committed to a fair and inclusive hiring process. Employment decisions are based on qualifications, skills, and business needs, without regard to any legally protected status. For more information, visit the Accenture Careers page.
Important Notice
Be cautious of fraudulent recruitment communications requesting payments, registration fees, deposits, or other charges related to employment opportunities. Accenture does not require candidates to make any payment at any stage of the hiring process. If you receive a suspicious request, avoid responding and report the incident through the appropriate official channels.
Note : Hirelytics never requests payment for job opportunities, interviews, or recruitment services. Be cautious of anyone asking for fees, deposits, or charges related to employment. All hiring services offered through Hirelytics are free of cost.
