LLM Operations Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Minimum 7.5 years of experience in Machine Learning Operations
Proficiency in Machine Learning Operations (Must Have)
Experience with cloud-based AI services (Good to Have)
Strong understanding of deep learning frameworks such as TensorFlow or PyTorch
Familiarity with data preprocessing and feature engineering techniques
Experience in deploying machine learning models in production environments
15 years full time education

Responsibilities

Expected to be a Subject Matter Expert (SME)
Collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute to key decisions
Provide solutions to problems for immediate team and across multiple teams
Mentor junior team members to foster professional growth and enhance team performance
Continuously evaluate and implement best practices in AI and machine learning to improve project outcomes
Utilize cloud-native services and tools for scalable and efficient deployment
Monitor LLM performance, address operational challenges
Ensure compliance and security standards in AI operations
Develop applications and systems leveraging AI tools and cloud AI services
Create production-ready pipelines
Ensure quality of applications
Integrate generative AI models into solutions
Explore AI methodologies including deep learning and image processing to enhance system capabilities and performance

Skills

Machine Learning Operations

TensorFlow

PyTorch

Deep Learning

Cloud AI Services

MLOps

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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