GEN AI Sr. Developer
- Best Infosystems Ltd
- 2 Positions
- Bengaluru
- 5 days ago
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Job Description
GEN AI Sr. Developer_Full-time_Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai
Job Title: GEN AI Sr. Developer
Experience Required: 6-8 Years
Location: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai
Employment Type: Full-time
Primary Skills: Gen Ai, Azure Open Ai, Python and which are mentions in cheat sheet
Job Description:
Senior Developer-GenAI Application shall be focused on coding, developing, and implementing GenAI applications using fine-tuned LLMs (Large Language Models) and SLMs (Small Language Models). This role emphasizes hands-on expertise in open-source frameworks, libraries, and cloud tools, with the ability to quickly prototype and demonstrate GenAI applications. The developer shall work under the guidance of senior team members to deliver high-quality, scalable, and innovative solutions.
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.
Debugging and Optimization: Identify and fix bugs, optimize code, and improve application performance.
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Required Skills:
Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications.
Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA.
Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries.
Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models.
Data Preprocessing: Skills in building and maintaining data preprocessing pipelines.
API Integration: Experience with REST, SOAP, and other protocols for API integration.
Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance.
Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration.
Version Control: Proficiency in Git and Version Control best practices.
Technical Documentation: Ability to create clear and concise technical documentation.
Problem-Solving: Strong analytical and problem-solving skills to debug and optimize code.
Collaboration: Excellent teamwork and communication skills to work effectively in cross-functional teams.
Rapid Prototyping: Ability to quickly prototype and demonstrate GenAI applications.
Continuous Learning: A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies.
Good to have:
Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools.
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If you are interested, please share your updated resume along with the following details for the next steps:
# Your full name ( First : Middle : Last ) ( All expanded ):
# Present Employer Name & Work Location:
# Permanent / Contract Employee:
# Current Location:
# Highest Qualification (University Name and Passing year):
# Total experience:
# Current CTC and take home:
# Expected CTC and take home:
# Official Notice Period:
# Are you serving notice period if yes then mention LWD (Last Working Day):
# Any offer you are holding (if yes please share the offer amount):
# Date of Birth(DOB):
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Application Programming / MaintenanceFunctional Area: Not SpecifiedRole/Responsibilies: GEN AI Sr. DeveloperContact Details:
Company: Best Infosystems LtdLocation(s): Bengaluru
Keyskills: python
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