AI / ML Engineer at Accenture

Manila, Metro Manila, Philippines

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Minimum 2 years of experience in Databricks Unified Data Analytics Platform
Expert proficiency in Databricks Unified Data Analytics Platform
Strong understanding of machine learning algorithms and their applications
Experience in developing and deploying AI models in cloud environments
Proficiency in programming languages such as Python or Scala
Familiarity with data engineering concepts and tools for data preparation and transformation
Ability to perform independently and become a subject matter expert (SME)
Position based at Manila office

Responsibilities

Active participation and contribution in team discussions
Contribute to providing solutions to work-related problems
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications
Design and implement scalable AI solutions using the Databricks Unified Data Analytics Platform
Monitor and optimize the performance of AI models and applications in production environments
Stay updated with the latest advancements in AI and machine learning technologies to enhance project outcomes
Provide mentorship and guidance to junior team members on best practices in AI development
Develop applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality, including GenAI models, deep learning, neural networks, chatbots, image processing, and cognitive engineering

Skills

Databricks

Machine Learning

Generative AI

Python

Scala

Deep Learning

Neural Networks

Cloud AI

Data Engineering

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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