Associate Software Engineer

Job Roles:

• Intern (Full stack Development)
• Intern (Data Engineering) 

About the Role: Full Stack Developer

We are looking for an Intern (Full stack Development) to join our team and contribute to designing, developing, and maintaining web applications. This role involves working on both front-end and back-end development, ensuring seamless user experiences and efficient system functionality. It is ideal for students or recent graduates eager to gain hands-on experience in full-stack development, modern frameworks, and cloud technologies.

Key Responsibilities:

• Develop and maintain web applications using modern front-end and back-end technologies. 
• Integrate AI/ML models into web applications for intelligent automation, recommendations, and decision-making. 
• Work with frameworks like React, Angular, or Vue.js for frontend development. 
• Build scalable backend services using Node.js, Python (Django/Flask/FastAPI), or Java (Spring Boot). 
• Design and optimize databases (SQL/NoSQL) for efficient data handling. 
• Develop APIs to interact with AI/ML models and process real-time data. 
• Deploy AI-powered applications on cloud platforms (AWS, GCP, Azure). 
• Collaborate with AI engineers, data scientists, and UI/UX designers to enhance application functionality.
• Ensure best practices in code quality, security, and performance.

Required Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, AI/ML, or a related field. 
• Basic knowledge of JavaScript, TypeScript, Python, or Java. 
• Familiarity with any one of frontend frameworks React, Angular, or Vue.js .
• Understanding of any one of the backend frameworks like Node.js, Django, Flask, FastAPI, or Spring Boot. 
• Strong knowledge in databases (SQL/NoSQL: PostgreSQL, MySQL, MongoDB, Firebase). 
• Awareness of RESTful APIs, GraphQL, and WebSockets. 
• Interest in AI/ML concepts and eagerness to learn AI model integration. 
• Strong problem-solving skills and ability to work with large datasets. 
• Good communication and teamwork skills. 

Preferred Skills (Nice to Have): 

• Exposure to Apache Spark, Airflow, or DBT. 
• Knowledge of data modeling and schema design. 
• Understanding of Power BI,DataBricks,Tableau,SnowFlake. 
• Familiarity with data governance and security best practices. 

What Youll Gain: 

• Hands-on experience working on real-world AI-powered web development projects. 
• Mentorship from experienced developers and exposure to industry best practices. 
• Opportunity to work with modern AI/ML and cloud technologies. 
• A potential full-time opportunity based on performance. 

Program Structure:

• Paid Internship: Initial 6-month structured internship program with a 15,000 stipend. 
• Full-Time Employment: Candidates successfully completing the internship will be offered full-time roles with 3 LPA, after completing one year, the package will be 4 to 5LPA subject to performance. 
• Job Security: To ensure commitment and career growth, selected candidates will be required to sign a service agreement for 2 years upon joining as an Intern.

About the Role: Data Engineering

We are looking for an Intern (Data Engineering) to join our team and assist in building and optimizing data pipelines, managing databases, and supporting analytical needs. This role is ideal for students or recent graduates eager to gain hands-on experience in data engineering and big data technologies. 

Key Responsibilities:

• Assist in designing, building, and maintaining scalable data pipelines. 
• Work with structured and unstructured data from various sources. 
• Optimize data extraction, transformation, and loading (ETL) processes. 
• Collaborate with data scientists and analysts to ensure high data quality and availability. 
• Support database management, performance tuning, and automation of data workflows. 
• Assist in implementing data security and compliance best practices. 
• Document technical processes, workflows, and data architecture. 

Required Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Information Technology, or a related field. 
• Basic knowledge of SQL, Python, or Java for data processing. 
• Familiarity with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, Azure) is a plus. 
• Understanding of ETL processes, data warehousing, and big data technologies (Hadoop, Spark, Kafka) is a bonus. 
• Strong problem-solving skills and ability to work with large datasets. 
• Good communication and teamwork skills. 

Preferred Skills (Nice to Have):

• Experience with Apache Spark, Airflow, or DBT. 
• Knowledge of data modeling and schema design. 
• Exposure to Power BI,DataBricks,Tableau,SnowFlake. 
• Understanding of data governance and security best practices. 

What You’ll Gain:

• Hands-on experience working on real-world data engineering projects. 
• Mentorship from experienced engineers and exposure to industry best practices. 
• Opportunity to work with modern data technologies and tools. 
• A potential full-time opportunity based on performance.

Program Structure:

• Paid Internship: Initial 6-month structured internship program with a 15,000 stipend. 
• Full-Time Employment: Candidates successfully completing the internship will be offered full-time roles with 3 LPA, after completing one year, the package will be 4 to 5LPA subject to performance. 
• Job Security: To ensure commitment and career growth, selected candidates will be required to sign a service agreement for 2 years upon joining as an Intern. Role & responsibilities.