Full Stack Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Proficiency in Python (Programming Language)
Minimum 3 years of experience
15 years full-time education
Experience with Hugging Face Transformers, LangChain, OpenAI APIs
Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM
Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone, Weaviate, ChromaDB
Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA)
Deep understanding of self-attention, positional embeddings, sequence modeling
Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text embeddings
Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors
Expertise in gradient descent, backpropagation, activation functions, loss functions
Experience with dimensionality reduction techniques for feature selection
Knowledge of time-series forecasting, anomaly detection, and probabilistic modeling
Understanding of model serving techniques, including REST APIs and real-time inference
Good to have: Experience with JavaScript frameworks such as React or Angular
Strong understanding of RESTful API design and development
Familiarity with cloud platforms such as AWS or Azure
Experience with database management systems like MySQL or PostgreSQL

Responsibilities

Develop and/or engineer end-to-end features of a system, from user experience to backend code
Deliver innovative solutions to help clients improve services
Leverage new technologies to solve challenging business problems with a cloud-first and agile mindset
Perform independently and become a subject matter expert (SME)
Actively participate/contribute in team discussions
Contribute to providing solutions to work-related problems
Collaborate with team members to design and implement new features
Conduct code reviews to ensure quality and adherence to best practices
Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation, summarization, translation, and question-answering tasks
Work with transformer-based architectures, understanding self-attention mechanisms, token embeddings, and model interpretability
Implement custom tokenization techniques, text embedding models (Sentence-BERT, OpenAI Embeddings, Cohere, etc.), and efficient inference optimizations
Apply prompt engineering and prompt tuning techniques to optimize model responses
Work with LangChain and LLM orchestration frameworks to build AI-powered applications
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, Weaviate, ChromaDB
Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs

Skills

Python

Full Stack

Hugging Face Transformers

LangChain

OpenAI APIs

scikit-learn

XGBoost

LightGBM

Cloud

Agile

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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