We are:
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.
You Are:
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.
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The Work:
- 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
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Qualifications
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
Travel
For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only.
Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease experts.
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement .
Requesting An Accommodation
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.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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