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
Bonus Points If:
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
As required by the Colorado Equal Pay Transparency Act, Accenture provides a reasonable range of minimum compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only, the range of starting pay for this role is $84,300 - $185,399 and information on benefits offered is here.
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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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