Telangana Python django Jobs – 112 Open Jobs Today

Large Language Model Architect
Accenture —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
AWS Cloud Architect
The Goodyear Tire & Rubber Co. —Hyderabad, Telangana
- Full-time
- AWS
- Python
Full Stack Developer (Django + React)
Nano junior college —Hyderabad, Telangana
- Up to ₹12,00,000 a year
- Full-time
- Master's degree
- AWS
- Analysis skills
Quick apply
7h
Manager AI Implementations
Bristol-Myers Squibb —Hyderabad, Telangana
- Email
- Hybrid work
- Computer Science
- Master's degree
- Databases
6h
Senior Engineer
LSEG (London Stock Exchange Group) —Hyderabad, Telangana
- Full-time
- Azure
- Master's degree
- AWS
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5h

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Custom Software Engineer
Accenture —Hyderabad, Telangana
If the candidate also has skills in machine learning or DevOps, that would be an added advantage. Minimum 3 year(s) of experience is required.
Large Language Model Architect
Accenture —Hyderabad, Telangana
Build and fine-tune large language models (OpenAI, Hugging Face Transformers, etc.) for various enterprise applications. 15 years full time education.

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Large Language Model Architect

Accenture -
Hyderabad, Telangana

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Job details

Full-time

Qualifications

TensorFlow
CI/CD
Azure
Law
Computer Science
CSS
React
Kubernetes
Full-stack development
NumPy
NoSQL
Git
Test-driven development
MongoDB
Master's degree
SQL
Pandas
AWS
Docker
Bachelor's degree
Machine learning
JavaScript
Continuous integration
Deep learning
Redis
Back-end development
REST
Django
APIs
Agile
Unit testing
Flask
AI
Python
HTML
Design patterns

Full job description

Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We are looking for an experienced and highly skilled Python + Gen AI Full Stack Engineer with 8–10 years of professional experience in software engineering, specializing in machine learning, large language models (LLMs), and generative AI technologies. The ideal candidate will possess deep technical expertise in Python front-end and back-end development, end-to-end AI/ML solution design, and large-scale model deployment. The role requires strong problem-solving abilities, architectural vision, and hands-on experience with state-of-the-art Gen AI tools and frameworks.

Roles & Responsibilities:
1. Design, develop, and maintain scalable AI-driven applications using Python and front-end technologies.
2. Architect and implement full-stack solutions integrating LLMs and generative AI capabilities.
3. Build and fine-tune large language models (OpenAI, Hugging Face Transformers, etc.) for various enterprise applications.
4. Collaborate with data scientists and product teams to define AI use cases, prototypes, and production-grade deployments.
5. Integrate APIs and develop microservices to enable LLM-based features in web applications.
6. Manage model lifecycle, including training, evaluation, versioning, and deployment.
7. Implement best practices for data preprocessing, vector databases, embeddings, and prompt engineering.
8. Ensure performance, scalability, and security of AI applications.
9.Stay current with Gen AI trends, research, and emerging tools in the AI/ML ecosystem.
10.Conduct code reviews, mentor junior developers, and contribute to technical documentation and architecture planning.

Professional & Technical Skills:
1.Languages & Frameworks: Expert in Python, Fast API, Flask, Django Proficient in HTML, CSS, JavaScript, React or Vue.js.
2. Machine Learning & Deep Learning: Strong understanding of supervised/unsupervised learning, model training, feature engineering, PyTorch, TensorFlow.
Generative AI & LLMs:
3. Hands-on experience with OpenAI API, Lang Chain, Hugging Face Transformers, and Retrieval-Augmented Generation (RAG).
4. Proficient in prompt engineering, embeddings (e.g., FAISS, Pinecone), and vector stores.
5. Experience in fine-tuning LLMs and integrating them into enterprise applications.
6. DevOps & Deployment: Docker, Kubernetes, CI/CD pipelines, REST APIs, Git.
7. Data Technologies: Pandas, NumPy, SQL, NoSQL (MongoDB, Redis), data pipelines.
8. Cloud Platforms: Azure, AWS, or GCP for model training, serving, and scalable infrastructure.
9. MLOps Tools: MLflow, Weights & Biases, or similar platforms for model monitoring and experimentation tracking.
Software Development Best Practices: Agile methodologies, unit testing, TDD, code versioning, architectural design patterns.

Additional Information:
1. bachelor s or master s degree in computer science.

15 years full time education

Apply Now

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