Technical Specialist-App Development

0 years

6 - 10 Lacs

Posted:19 hours ago| Platform: GlassDoor logo

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On-site

Job Type

Part Time

Job Description

Country/Region: IN
Requisition ID: 31205
Work Model:
Position Type:
Salary Range:
Location: INDIA - HYDERABAD - BIRLASOFT OFFICE

Title:Technical Specialist-App Development

Description:
Key Responsibilities:
  • Coding and Development: Write clean, using Lang chain/Lang graph and Auto Gen frameworks efficiently, and maintainable code for GenAI applications using Python and open-source frameworks.
  • Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases.
  • Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, and others to build GenAI solutions.
  • Azure AI Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services.
  • Integration and Deployment: Integrate generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Knowledge of AWS would be an added advantage.
  • Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models.
  • API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery.
  • Model Evaluation: Evaluate model performance using metrics and benchmarks and iterate to improve results.
  • Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback.
  • Front-End Development: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React.
  • Version Control: Use Git and other version control systems to manage code and collaborate with team members.
  • Technical Documentation: Create clear and concise documentation for code, models, and processes.
  • Collaboration: Work closely with data scientists, engineers, and product managers to deliver high-impact solutions.
  • Learning and Growth: Continuously learn and stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies.

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