11+ Knowledge base Jobs in Pune | Knowledge base Job openings in Pune

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

•  Development using .net core
•  Requirement understanding and getting on client calls
•  Work closely with the nearshore developer
•  Perform code reviews and unit testing as planned
•  Participate in peer reviews.

•  Strong knowledge on C#, .net core 5 and Entity Framework
•  Knowledge on PostgreSQL
•  Web API, building Microsoft .NET-based web or Enterprise applications
•  Experience in building and consuming Asp.NET MVC & Web API or REST API  using 
• jQuery, JSON, AJAX, Asp.net Web Services.

•  Knowledge on Docker and Kubernetes
•  Knowledge on AutoMapper

Job Description:

Role: Data Scientist

Responsibilities:

 Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

 Perform data cleaning, feature engineering, and exploratory data analysis.  

Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

Ability to translate complex machine learning problem statements into specific deliverables and requirements.

Should have worked with major cloud platforms such as AWS, Azure or GCP.

Working knowledge of SQL and no-SQL databases.

Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

Strong understanding of evaluation and monitoring metrics for machine learning projects.

looking for Trainer who has experience on any one in Data Analytics Tableau, Power BI, Excel, MYSQL

Job description

Experience: At least 1 year of experience in imparting trainings Bachelor / Master degree in any field

Requirements :

• Good interpersonal with excellent communication skills
• Imparting Training on Tableau, Excel,SQL, Python or R Programming, Statistics.
• Good understanding of Data Analysis concepts and understanding of Machine Learning, Big Data, Business Intelligence Tools.
• Conduct online and classroom training sessions by providing practical use cases and assignments
• Able to cater College Seminar, Workshop, Corporate training.
• Provide Interview Preparation and placement assistance to students
• Manage Data Analytics Training Content including Session Presentations, Assignments, and Quizzes.

Position- Backend Lead

Location : Pune/Bangalore

Exp : 10+ years

Prefer Mid Jan joiners

• 8+ years’ experience in Core Java / J2EE, Tomcat, Application Server, Web Services, spring, Spring Boot, Hibernate, messaging systems.
• 10 years min with Team leading experience
• Java 8+, Docker Container, Continuous Integration /Continuous Deployment
• Spring Boot,
• Microservice Architecture,          
• PostgreSQL, Azure,MySQL,
• Docker Container, Continuous Integration /Continuous Deployment         

• Design, develop, test, debug and maintain components of the cloud infrastructure
• Manage operational priorities of the DBaaS
• Establish a process for handling and leading response to security new vulnerabilities
• Lead certification efforts from the security perspective
• Participate in penetration testing efforts
• Design and build DBaaS processes for key management, rotation storage, encryption, and password management

Requirements:

• Strong software design and implementation skills in building infrastructure frameworks
• Experience building and operating extensible, scalable resilient data systems
• Working knowledge of Java and Python Experience using public cloud infrastructure (AWS, GCP, or Azure)
• Containerization tooling (Docker, EKS, Kubernetes)
• Infrastructure as Code Tooling (Example: Terraform, Cloudformation, Etc.)
• Configuration Management Tooling (Ansible, Chef, etc.)
• Automation Scripting (Python preferred)
• Solid understanding of basic systems operations (disk, network, etc)
• Willingness and ability to learn new languages and concepts
• 5+ years of relevant experience