AI / ML Engineer at Accenture

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 3 years of hands-on experience in Azure AI/ML technologies, with proven expertise in Microsoft Azure AI Foundry and Agentic AI
Strong understanding of AI governance, observability, and compliance frameworks
Experience designing and deploying AI pipelines on Microsoft Azure
Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.)
Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency
Familiarity with regulatory requirements for enterprise AI adoption
15 years full-time education

Responsibilities

Serve as a developer for Microsoft Azure AI Foundry and Agentic AI
Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry
Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption
Ensure AI workloads meet enterprise security, compliance, and governance requirements
Ensure accountability and high-quality delivery
Provide scalable solutions for multi-team AI initiatives across the enterprise
Monitor solution performance, optimize pipelines, and align outcomes with business goals

Skills

Azure AI Foundry

Agentic AI

Generative AI

Deep Learning

Neural Networks

Chatbots

Image Processing

AI Orchestration

AI Pipelines

AI Observability

Microsoft Azure

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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