DE Intern + SDE Trainee

About The Role

• Role: DE Intern + SDE Trainee
• Duration: 6-month internship, followed by a performance-based opportunity for full-time conversion.
• Training & Evaluation: Candidates will undergo an extensive training program during the internship, with full-time conversion based on performance.

About Sigmoid

Sigmoid enables business transformation using data and analytics, building modern data architectures using cloud and open source. Sigmoid brings deep expertise in data engineering, predictive analytics, AI/ML, and DataOps.

Your Role at Sigmoid

Seeking talented, motivated students for an internship program with potential for full-time employment. This role offers exposure to both Data Engineering and Software Engineering domains, with final specialization based on aptitude and business requirements during training.

Key Responsibilities

During Training Phase

• Participate in comprehensive technical training covering data engineering, software engineering, and AI/ML fundamentals.
• Work on hands-on projects spanning data pipelines, analytics, LLM integrations, and software development.
• Collaborate with cross-functional teams on client projects.
• Attend workshops, mentoring sessions, and technical skill development programs including AI tooling and prompt engineering.

Post-Training Opportunities

Data Engineering Track

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Work with big data technologies and cloud platforms (AWS, GCP, Azure) to process and transform large datasets.
• Implement data quality frameworks and monitoring systems.
• Collaborate with data scientists and analysts to support analytics and AI/ML initiatives.
• Optimize data storage solutions and ensure data governance and compliance.
• Build and maintain AI/ML feature stores and vector databases to support large-scale model serving.
• Design and operationalize LLM data pipelines—including ingestion, chunking, embedding generation, and retrieval-augmented generation (RAG) workflows.
• Integrate AI orchestration frameworks with AI operators into data workflows.
• Apply Generative AI tools (e.g., OpenAI API, Amazon Bedrock, Vertex AI) to automate data transformation, enrichment, and classification tasks.

Software Engineering Track

• Develop web applications, mobile apps, and enterprise software solutions.
• Build APIs, microservices, and distributed systems.
• Work on frontend and backend development using modern frameworks.
• Implement CI/CD pipelines and DevOps practices.
• Contribute to product architecture and technical decision-making.
• Design and develop AI-powered product features, including chatbots, intelligent search, recommendation engines, and natural language interfaces using LLM APIs.
• Develop secure and scalable backend services for AI model inference, including API gateway integration, rate limiting, caching, and model routing strategies.
• Work with multimodal AI capabilities (vision, speech, document understanding) to build enriched user experiences and intelligent automation workflows.

Note: While the primary focus of this role will be on Data Engineering & AI, candidates may also have opportunities to contribute to Software Engineering initiatives based on business requirements and acquired skills.

Requirements & Tech Stack

• Strong programming fundamentals in at least one language such as Python, Java, JavaScript, C++, or Scala.
• Solid understanding of data structures and algorithms.
• Good grasp of database concepts and SQL.
• Familiarity with the software development lifecycle, testing methodologies, and version control systems like Git.
• Strong analytical and problem-solving skills.
• Effective communication.
• Ability to work collaboratively within a team.
• Self-starter with a keen eagerness to learn new technologies.
• Experience with interfacing with enterprise customers.
• High degree of ownership, initiative, and customer-centric thinking.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical field.
• Candidates from circuit branches (e.g., Computer Science, Information Technology, Electronics, Electrical, etc.).
• Minimum CGPA of 7.0 or above.
• No active academic backlogs at the time of application.
• Eligible graduating batches: 2026 and 2027.