Must have Skills : Generative AI Fundamentals (Strong) Technology Architect - Generative AI LLM Application Frameworks (Strong) LLM Fine Tuning and Deployment (Strong) Prompt Engineering with LLMs (Strong)
Job Description
Data Scientist is expected design develop implement scalable ML GenAI and Agentic AI solutions align with business goals lead team and ensure code/delivery quality.
Key responsibilities include create integration architectures define standards that matches emerging GenAI trends to drive innovation efficiency and competitive advantage integrate AI/LLM Models into Applications/APIs optimize workflows with GenAI tools leading technical discussions and mentoring junior team members.
The role also requires experience with backend development APIs including RAG APIs Vector databases cloud platform production grade solutions code quality & security.
Regular duties:
- Design solutions and implement ML generative AI and agentic AI models and algorithms utilizing state-of-the-art algorithms.
- Work on integrating cloud with AI algorithms and On premises AI algorithms.
- Collaborate with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals.
- Research the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimize existing AI models for improved performance scalability and efficiency.
- Develop and maintain AI pipelines including data pre-processing feature extraction model training and evaluation.
- Drive the team to build AI products and solutions working in an agile methodology
- Manage delivery across pods building scalable AI and API services
- Run standups sprints retrospectives and Jira workflows
- Drive backend deployment security reviews and QA pipelines
- Coordinate integration of RAG APIs and vector DB pipelines
- Promote use of code quality agents and modern CI/CD practices
- Collaborate with the Product Manager/Architect to define deliverables and technical strategy.
- Drive the integration of AI/ML capabilities into products using market trending libraries.
- Guide teams through refactoring and codebase optimization using AI-assisted insights.
- Troubleshoot and resolve issues related to AI models and implementations.
- Create and maintain documentation for AI models and their applications.
- Communicate complex technical concepts and findings to non-technical stakeholders.
Skills and Qualifications
- A masters/ bachelor degree in computer science engineering
- 10 to 12 years experience in IT Industry and up to 3 years experience in GenAI Agentic AI Solutioning and Implementation
- Minimum 2 Year experience in Datarobot for architecting and building GenAI Solutions RAG Agents and Deployment
- Mentor-first mindset delivery-driven team player excellent communicator
- Access control deployment integrity secure endpoints compliance awareness
- Cloud GenAI Solutions Design Development and Deployment
- On-Premises GenAI Solutions Design Development and Deployment
Remote Work :
Yes
Employment Type :
Full-time
Key Skills Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,Toxicology Experience
Department / Functional Area: Engineering
Experience: years
Vacancy: 1