Applied Intelligence, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses,widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.
An expert Cloud data /ML engineer with an eye for AI. You want to change how the world works and lives by taking AI out of the lab and into everyday life.
- Bring your deep expertise in cloud architecture / DevOps /MLOPs to analyze and recommend enterprise-grade solutions for operationalizing AI / ML analytics
- Develop end-to-end (Data/Dev/ML)Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
- Prototype and demonstrate solutions for clients in customer environments.
- Use your judgment to craft solutions to complex problems or seek guidance as needed
- Develop assets, accelerators, and thought capital for your practice
- Stay current on new products that clients could use
- Be a trusted advisor to your Accenture colleagues and to your clients
Here's What You Need:
- Bachelors degree or 12 years equivalent experience
- Minimum 2 years of software engineering experience while working in an AI / ML context alongside Data Scientists or ML Engineers
- Minimum 1 year of design and implementation ( building, containerizing and deploying end to end automated data and ML pipelines ) of cloud solutions on AWS, Azure, or GCP .
- Minimum 1 year of experience with Docker , Kubernetes clusters and implementing CI/CD or DevOps / MLOps solutions
- Certifications Preferred: Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps
- Experience building Data or MLOps pipelines using Python, Spark, ADF, Databricks, ML Flow or other similar cloud native services.
- Experience with Cloud technical architecture - that is, the design and delivery of IT systems for a broad range of clients
- Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients
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Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
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Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
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