Vertex AI / ML Engineer at Accenture

Kraków, Województwo małopolskie, Poland

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Professional ServicesIndustries

Requirements

Minimum 2 years of public cloud experience, preferably with GCP
Proficiency in GCP platform, particularly in Data & AI services (e.g., BigQuery, Vertex AI, Python, SQL)
Practical knowledge of AI, ML technologies, and databases
Ability to tackle complex technical challenges and communicate alternative solutions effectively to diverse audiences (technical and business teams)
Fluent English communication for collaborating with international teams
Pursuing the GCP Professional Data Engineer or GCP Machine Learning Engineer certification is advantageous

Responsibilities

Collaborate on solutions using Google Cloud Platform (GCP) services, integrating with on-premise and cloud environments
Deploy Data & AI solutions on GCP, leveraging artificial intelligence to drive business outcomes
Develop and deploy machine learning models using Vertex AI to support predictive analytics and decision-making
Build automated ML pipelines with Vertex AI Pipelines for scalable and reproducible workflows
Integrate Vertex AI with GCP services (BigQuery, Cloud Storage, Dataflow) for end-to-end data processing and model serving
Analyze, collect, and specify project requirements in collaboration with clients, selecting optimal technologies for implementation
Coordinate tasks within the Data Engineer or Machine Learning team
Collaborate with GCP architects and related areas (data visualization, infrastructure, security) during solution implementations

Skills

GCP

Vertex AI

Machine Learning

BigQuery

Cloud Storage

Dataflow

ML Pipelines

Predictive Analytics

Automated Pipelines

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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