AI / ML Engineer

Accenture
Department Icon Data Science Analytics & Machine Learning
Posted: 3 days ago
15-20 years
Bengaluru
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 9 Jan 2027
Posted: 3 days ago
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Job Description

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 :NAMinimum

7.5 year(s) of experience is required

Educational Qualification :15 years full time education

Summary:As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met.

Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- 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 skills and capabilities.- Monitor project progress and ensure alignment with strategic goals.

Professional & Technical Skills:

  • - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills:
  • Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments.

    Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required.

    Qualification

    15 years full time education

    • Skills

    ProcessingIntegrationMachine Learning AlgorithmsContinuous IntegrationDeep LearningMachine LearningAirflowAWSMachine LearningAiMlMlflowModel DeploymentModel TrainingAirflowFastapiMl Engineer

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    About Company

    Accenture plc is a global professional services company headquartered in Dublin, Ireland, with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, Accenture offers Strategy & Consulting, Technology, Operations, and Accenture Song services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers.

    A Fortune Global 500 company, Accenture reported US $64.9 billion in revenue for fiscal 2024 and serves clients in 120+ countries. With ~774,000 people worldwide and over 100,000 in India, the company partners with clients to build their digital core, optimize operations, accelerate growth, and create 360° value for stakeholders.

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