Accenture is hiring for ACN-Digital-Analytics - CDM -11. Candidates having Bachelor’s degree in data science and related disciplines can apply for the post. Candidates with 1+ years or work experience are eligible for the post. The entire procedure and eligibility criteria are mentioned below.
About Accenture:
Accenture is one of the leading global professional services
company, providing services in strategy and consulting, interactive, technology
and operations, with digital capabilities. Accenture incorporates the
capabilities across industries which are the World’s Largest network of
Advanced Technology. With lakhs of people serving in 120 countries Accenture
aims to bring continuous innovation to provide clients the products and help
them improve their performance.
Accenture Hiring ACN-Digital-Analytics - Details:
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Company Name: |
Accenture |
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Company Website: |
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Job Role: |
ACN-Digital-Analytics-
CDM -11 |
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Job ID: |
49046 |
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Job Location: |
Gurgaon |
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Experience: |
1+ Years |
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Qualifications: |
Bachelor’s
Degree |
Job Description:
Google Cloud Platform (GCP) Applied ML Engineer: An expert
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. You are primarily a
software engineer with a very strong interest in data science (not the other
way around i.e. this is not a data scientist role).
Job Responsibilities:
- Use deep learning and machine learning to solve business problems
- Run deep learning and machine learning projects from beginning to end
- Work on projects that cover everything from business understanding to model building, validation, and deployment
- Use Accenture tools and techniques
- Report on your progress regularly in writing and face-to-face
- Stay up-to-date on new products that clients could use
- Tweak existing methods and procedures to create solutions to moderately complex problems
- Use your judgment to craft solutions to complex problems or seek guidance as needed
- Prototype and demonstrate products for clients in customer environments.
- Work with peers and senior colleagues in Accenture and at client companies
- Help the sales team identify and classify opportunities
- Find out where clients need help and produce “as is” and “to be” scenarios
- Implement management’s strategy"
- Integrate massive datasets from multiple data sources for data modelling
- Implement methods for automation of all parts of the predictive pipeline to minimize labour in development and production
- Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management
- Knowledge in machine learning algorithms especially in recommender systems
- Extracting, Loading, Transforming, cleaning, and validating data
- Designing pipelines and architectures for data processing
- Creating and maintaining machine learning and statistical models
- Querying datasets, visualizing query results and creating reports
- Extensive travel may be required
Skills & Qualifications:
- Minimum 1 to 6 years of experience in data science and use of statistical methodologies
- Minimum 1-3 years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other.
- Strong quantitative and analytical skills with minimum 2 years of experience with data science tools, including Python, R, Scala, Julia, or SAS
- Bachelor’s degree in data science and related disciplines as mathematics, statistics, computer science, physics, or related fields. Master’s degree preferred"
- Minimum 1 year of implementing and delivering projects using CI/CD rigor and tools such as git, Jenkins, docker, Kubernates, Kubeflow Pipelines etc.
- Minimum 1 year of architecting and implementing next generation data and analytics platforms on GCP cloud
- Minimum 1 year of designing and implementing data engineering, ingestion and curation functions on GCP cloud using GCP native or custom programming
- Minimum 1 year of experience in performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud
- Hands-on GCP experience with a minimum of 1 solution designed and implemented at production scale
Preferred Skills:
- Minimum 1 year of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders
- Google Cloud Platform data engineer certification is a plus
Professional Skill Requirements-
- Excellent communication (written and oral) and interpersonal skills
- Proven ability to work creatively and analytically in a problem-solving environment.
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Reviewed by Jobs Barrel
on
November 11, 2020
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