Position: System Admin

Roles:

• System Maintenance and Monitoring.
• Server and Infrastructure Management.
• Support and Documentation.

Experience: 1-5 Years

Skills:

• Operating Systems: Proficiency in administering Linux (e.g., Red Hat, Ubuntu) and/or Windows Server environments.
• Networking: Solid understanding of TCP/IP, routing, switching, VLANs, and VPN technologies.
• Scripting: Ability to automate routine tasks using scripting languages like Bash, PowerShell, or Python.
• Security: Knowledge of security best practices, access control methods, and common security tools.
• Hardware: Experience with server hardware, storage devices, and data center operations.

Soft Skills:

• Problem-Solving: Excellent diagnostic and troubleshooting skills.
• Communication: Clear written and verbal communication for documentation and user support.
• Time Management: Ability to prioritize tasks, manage multiple projects, and respond effectively to emergencies.

Position: Database Administrator

Roles:

• Data Security and Integrity.
• Performance and Optimization.
• Maintenance and Development.

Experience: 1-5 Years

Skills:

• Proficiency in SQL (Structured Query Language): Fundamental for querying, managing, and manipulating data. This includes advanced knowledge of query optimization, stored procedures, and scripting.
• Database Management Systems (DBMS): Deep practical knowledge of one or more major platforms, such as Oracle, Microsoft SQL Server, MySQL, or PostgreSQL.
• Backup and Recovery Tools: Expertise in implementing and testing various backup strategies and disaster recovery solutions.
• Operating Systems: Familiarity with the operating systems (e.g., Windows, Unix/Linux) that host the database servers.
• Data Modeling and Design: Ability to design efficient and well-structured database schemas.
• Cloud Database Management: Growing knowledge of cloud platforms and services (e.g., AWS RDS, Azure SQL Database).

Soft Skills:

• Problem-Solving and Analytical Skills: Essential for diagnosing and resolving complex technical issues under pressure.
• Attention to Detail: Critical for meticulous configuration, coding, and maintenance tasks.
• Communication and Collaboration: Ability to communicate technical concepts clearly to both technical teams (developers, system admins) and non-technical business stakeholders.
• Organizational Skills: Managing multiple tasks, systems, and projects simultaneously.

Position: AI Engineer

Role Overview:

We are looking for capable and self-driven entry-level AI Engineers who possess strong foundational knowledge in Artificial Intelligence and are ready to independently contribute to real-world projects from day one. This is not a trainee or support role. The candidate is expected to have hands-on knowledge and the ability to design, develop, and implement AI/ML solutions with minimal supervision.

Key Responsibilities:

• Design and implement machine learning models for business use cases such as prediction, classification, and automation.
• Develop and deploy AI-powered applications including chatbots, document processing systems, and recommendation engines.
• Work with structured and unstructured datasets, perform pre-processing, and build effective training pipelines.
• Build and integrate AI features into backend systems and APIs.
• Develop Generative AI solutions such as conversational assistants and knowledge-based systems.
• Optimize model performance and ensure scalability for production environments.
• Collaborate with cross-functional teams to deliver complete AI-enabled solutions.

Required Technical Competency (Must-Have Knowledge):

• Programming: Strong proficiency in Python. Ability to write clean, modular, and production-ready code.
• Core AI / ML: Solid understanding of Supervised & Unsupervised Learning, Regression, Classification, Clustering algorithms, and Model evaluation techniques (accuracy, precision, recall, etc.). Good understanding of Deep Learning basics (Neural Networks). Knowledge of Natural Language Processing (NLP) concepts.
• Frameworks & Libraries: Hands-on experience with at least one: TensorFlow / PyTorch / Scikit-learn. Experience using Pandas, NumPy for data processing.
• Generative AI & Modern AI Skills (Mandatory): Practical understanding of Large Language Models (LLMs). Academic Experience in Prompt engineering and Building AI chatbots or assistants. Familiarity with tools/frameworks such as OpenAI APIs / Hugging Face / LangChain. Understanding of RAG (Retrieval-Augmented Generation) concepts. Awareness of vector databases (FAISS, Pinecone, etc.).
• Backend, Data & Integration Skills: Strong SQL knowledge (PostgreSQL / MySQL / Oracle). Ability to build and consume REST APIs. Understanding of backend frameworks (Flask / FastAPI / Spring Boot). Knowledge of integrating AI models into microservices architecture.
• Deployment & Tools: Basic understanding of Model deployment concepts, Docker (containerization), Cloud basics (AWS / Azure / GCP), and Version control: SVN or Git.

Project Expectations (Very Important):

• Candidates must have completed hands-on projects demonstrating: End-to-end ML model development, At least one AI/ML or NLP-based application, Preferably one Generative AI or chatbot project.

Position: Full Stack Developer

Purpose:

This requirement is shared with the training partner to prepare candidates who are deployment-ready for enterprise application development using Java-based full-stack technologies, microservices architecture, and AI-integrated solutions.

Key Responsibilities:

• Develop and maintain web applications using Java, Spring Boot, and Angular.
• Build and consume RESTful APIs.
• Work on microservices-based architecture.
• Develop responsive UI using Angular and Bootstrap.
• Integrate backend with databases like Oracle, PostgreSQL, and MySQL.
• Participate in debugging, testing, and performance optimization.
• Collaborate with team members in an agile environment.
• Implement AI-powered features within applications.

Mandatory Technical Skills:

• Core Java: OOP concepts (Inheritance, Polymorphism, Abstraction, Encapsulation), Collections Framework, Exception Handling, Java 8+ (Streams, Lambda), Basic Multithreading.
• Spring Framework: Spring Boot (mandatory), Spring MVC architecture, Dependency Injection (IOC), REST API development, Basic Spring Security (JWT/session basics).
• ORM & Persistence: Hibernate, JPA (Entity mapping, relationships), CRUD operations, JPQL / basic query writing.
• Microservices: Understanding of microservices architecture, Creating independent services using Spring Boot, REST-based service communication, Basic knowledge of service registry/API gateway (good to have).
• Frontend Development: Angular (mandatory) Components, Modules, Services, Routing, API integration, HTML5, CSS3, Bootstrap.
• Database Skills: Strong SQL knowledge (Joins, Indexes, Views), Basic Stored Procedures, Hands-on with: Oracle (preferred), PostgreSQL, MySQL.
• API & Integration: RESTful API design, JSON handling, API testing using Postman.
• Tools & Technologies: SVN (version control), Maven / Gradle, IntelliJ / Eclipse, Basic Linux commands (preferred).
• Testing & Debugging: Debugging skills, Logging (Log4j / SLF4J).
• AI & Modern Development Skills:
  • AI-Assisted Development (Mandatory): Use of AI tools for code generation, debugging, optimization, and ability to validate AI-generated code.
  • AI API Integration (Mandatory): Integrating AI APIs into applications, Handling JSON-based AI responses. Use cases: Chatbots, Text summarization, Data extraction.
  • Generative AI Fundamentals (Preferred): Basic understanding of LLMs, Prompt engineering basics, Structuring prompts for desired outputs.
  • AI Use Cases in Applications (Preferred): Smart/semantic search, Document processing, AI-based assistants/chatbots, Recommendation logic (basic).
  • Productivity Using AI (Mandatory Mindset): Using AI for boilerplate code generation, test case creation, and documentation.

Minimum Practical Exposure Required:

Candidates must have:

• At least 1 end-to-end full-stack project: Spring Boot + Angular + Database. Hands-on experience with CRUD operations, Authentication (login system), API integration.
• At least 1 mini AI-integrated project, such as: Chatbot, Text summarizer, AI-based assistant.