AI / ML Engineer
Accenture
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the Role
Accenture is a global professional services firm helping organizations build their digital core and leverage AI to create value. This role involves developing and deploying production-ready AI applications and pipelines using cloud services and generative models.
Skills
Machine Learning Operations
Azure Cloud
Kubernetes
Docker
Helm
Terraform
CI/CD
Continuous Testing
PromptOps
Infrastructure as Code
Prometheus
Grafana
GitLab CI/CD
DevSecOps
TensorFlow
PyTorch
Full job details
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning Operations
Good to have skills : DevOps
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various advanced technologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential to ensure that the solutions meet the diverse needs of the organization and its clients.
Must have:
Hands-on experience on CI/CD & Continuous Testing, Experience with PromptOps including logging, testing, monitoring, and prompt versioning. Strong cloud architecture experience with Azure Cloud and its services, Hands-on experience with Kubernetes, Docker, and Helm for container orchestration, Experience with Infrastructure as Code using Terraform (preferred) or ARM templates, Monitoring and logging (Native Azure monitoring tools, Prometheus, Grafana)
Experience with GitLab CI/CD pipelines for infrastructure and application (frontend/backend) deployment, Experience implementing DevSecOps practices
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor and evaluate the performance of AI models to ensure optimal functionality.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Good To Have Skills: Experience with DevOps.
- Strong understanding of cloud-based AI services and their integration.
- Experience in developing and deploying machine learning models in production environments.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.
- This position is based at our Pune office.
- A 15 years full time education is required.15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning Operations
Good to have skills : DevOps
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various advanced technologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential to ensure that the solutions meet the diverse needs of the organization and its clients.
Must have:
Hands-on experience on CI/CD & Continuous Testing, Experience with PromptOps including logging, testing, monitoring, and prompt versioning. Strong cloud architecture experience with Azure Cloud and its services, Hands-on experience with Kubernetes, Docker, and Helm for container orchestration, Experience with Infrastructure as Code using Terraform (preferred) or ARM templates, Monitoring and logging (Native Azure monitoring tools, Prometheus, Grafana)
Experience with GitLab CI/CD pipelines for infrastructure and application (frontend/backend) deployment, Experience implementing DevSecOps practices
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor and evaluate the performance of AI models to ensure optimal functionality.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Good To Have Skills: Experience with DevOps.
- Strong understanding of cloud-based AI services and their integration.
- Experience in developing and deploying machine learning models in production environments.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.
- This position is based at our Pune office.
- A 15 years full time education is required.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.