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Urgent! Large Language Model Architect Job Opening In Bengaluru – Now Hiring Confidential
Job description
Role : Generative AI Engineer
Location - Bangalore
Experience - 6+ Years
Notice Period: Immediate joiner
Core Responsibilities:
Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions.
Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems.
Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives.
Optimize model latency and performance for real-time applications and large-scale deployment
Architect scalable ML infrastructure for training, inference, and model serving
Fine-tune Large Language Models (LLMs) and other transformer-based architectures
Ability to explain complex AI concepts to technical and non-technical stakeholders
What We're Looking For
Experience Requirements:
6+ years of overall data science or ML experience.
1.5+ years of hands-on experience with generative AI and large language models.
Advanced degree in Computer Science, Machine Learning, or related field.
Experience in taking ML/DL model to production.
️ Technical Expertise:
Python, C++ or any other high-level language.
PyTorch and TensorFlow.
Experience with Hugging Face Transformers, LangChain, LlamaIndex,
Pydantic AI
Deep Learning fundamentals: neural networks, backpropagation, optimization
Generative AI frameworks: OpenAI API, Anthropic Claude, Google Gemini,
local LLM deployment
Model architectures: Transformers, attention mechanisms, encoder-decoder models
Fine-tuning techniques: LoRA, QLoRA, full parameter fine-tuning, RLHF
Design and implement comprehensive evaluation pipelines
A/B testing for AI systems and statistical significance testing
Latency optimization techniques: model quantization, pruning, distillation
Experience with MLOps tools: MLflow, Weights & Biases, DVC
Technical skill: Python, C++, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Pydantic AI, Deep Learning, Neural Networks, Optimization, OpenAI API, Claude, Gemini, LLM Deployment, Transformers, Encoder-Decoder, LoRA, QLoRA, RLHF, A/B Testing, Quantization, Pruning, Distillation, MLflow, Weights & Biases, DVC.
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Unlock Your Large Language Potential: Insight & Career Growth Guide
Real-time Large Language Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Large Language in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 10954 jobs in India and 324 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Large Language roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Confidential is currently hiring and seeking a Large Language Model Architect to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Large Language Model Architect Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Large Language Model Architect Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Large Language Model Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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