AI / ML Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 12 years of experience in Data Science
15 years full time education
Deep knowledge of machine learning algorithms, statistics, and data modeling techniques, with 5+ years of hands-on experience
Proficiency in Python and experience with ML libraries/frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
Experience with ML development on cloud services (AWS)
Experience with containerization technologies (e.g., Docker, Kubernetes)
Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems (e.g., Git)
Strong experience with SQL and familiarity with handling large datasets, data preprocessing, and feature engineering
Excellent ability to clearly communicate complex data science concepts to technical and non-technical stakeholders
Prior experience working with pharma industry data platforms, especially Veeva (CRM, Vault), IQVIA, or similar platforms
Demonstrated expertise in deploying, managing, and monitoring advanced NLP and LLM models
Deep expertise in transformer architectures, prompt engineering, semantic search techniques, and generative AI applications

Responsibilities

Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems
Conduct thorough experimentation, iterative testing, and evaluation of ML models to improve performance, accuracy, and scalability
Extract actionable insights from data through advanced analytics, ensuring alignment with business objectives and strategy
Partner closely with Data Engineers and Software Engineers to integrate, deploy, and monitor ML solutions in production environments, ensuring scalability and reliability
Mentor junior team members, conduct peer reviews, and contribute to best practices in data science methodologies and processes
Supports AWS Cloud Engineering activities
Develop applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality
Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, image processing

Skills

Data Science

GenAI

Deep Learning

Neural Networks

Chatbots

Image Processing

Machine Learning Algorithms

Statistical Models

Cloud AI

Production 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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