Greetings from Teknikoz
Experience : 5+Years
Roles and Responsibilities
- AI / ML solution development : Design, develop, and implement scalable AI / ML solutions using machine learning algorithms and models, primarily within the Microsoft .NET framework or Python system integration, model training and validation, and performance optimization
- Contribute to the full development lifecycle : Participate in activities from ideation and prototyping to deployment, monitoring, and debugging of AI features.
- Model management : Build and manage the AI stack, from prompt engineering and fine-tuning large language models (LLMs) to creating scalable microservices and data pipelines.
- Product enhancement : Collaborate with product managers and data scientists to understand business requirements and deliver AI-driven features for Icertis products
- Collaborate with cross-functional teams : Work closely with data scientists, product managers, and other engineers to translate business requirements into technical specifications for AI features
- Enhance and maintain AI capabilities : Conduct performance testing, validate AI implementations, and work on optimizing AI services, pipelines, and models
- Testing and deployment : Conduct thorough testing and validation of AI / ML implementations to ensure high performance and reliability.
- Technical support and troubleshooting : Troubleshoot and debug issues in AI / ML implementations, especially for higher-level support roles.
- AI / ML knowledge : Familiarity with machine learning model deployment, inference pipelines, vector stores, RAG (Retrieval-Augmented Generation), and LLMs is expected.
- Domain knowledge : Experience with contract lifecycle management (CLM) platforms or similar enterprise applications is highly desirable for some roles.
- Communication : Strong communication skills are essential for collaborating with cross-functional teams and explaining complex technical concepts to non-technical stakeholders
- Implementation of AI / ML-driven solutions across Legacy Migration, Attribute Discovery, Obligation Discovery, and Negotiate AI, ensuring seamless integration, scalability,
- Use feedback to improve the user experience and AI interactions.
Technical Skills : Python, NLP, Prompt writing, NER based rule writing, Java, Selenium, API Testing, SQL. GIT, GITHUB, TFS
Certification : ICI Administrator
ICI PractitionerICI Functional ProfessionalICI AI / ML Functional ProfessionalICI AI / ML Practitioner