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Bengaluru, Karnataka, India
Onsite
Role: DE Intern + SDE Trainee
Duration: 6-month internship, followed by a performance-based opportunity for full-time conversion.
Sigmoid enables business transformation using data and analytics, leveraging real-time decisions through insights, by building modern data architectures using cloud and open source. Some of the world’s largest Fortune 1000 data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, AI/ML, and DataOps.
We are seeking talented, motivated students to join our internship program with the opportunity for full-time employment upon successful completion of training. This role offers exposure to both Data Engineering and Software Engineering domains, with final specialization determined based on your aptitude and business requirements during the training period.
Ideal candidates are currently pursuing or have recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical field. You should have strong programming fundamentals in at least one language such as Python, Java, JavaScript, C++, or Scala, along with a solid understanding of data structures and algorithms. A good grasp of database concepts and SQL, familiarity with the software development lifecycle, testing methodologies, and version control systems like Git is expected.
We value strong analytical and problem-solving skills, effective communication, and the ability to work collaboratively within a team. You should be a self-starter with a keen eagerness to learn new technologies and adapt to evolving requirements. This role also involves interfacing with enterprise customers, including leading Fortune 500 companies, to understand their strategic priorities and contribute to aligning Sigmoid's solutions with their business goals. A high degree of ownership, initiative, and customer-centric thinking is key to succeeding in this role.
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 real client projects.
Attend workshops, mentoring sessions, and technical skill development programs including AI tooling and prompt engineering.
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.
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 the training and skills they acquire.
Open to 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.
2026 and 2027 graduating batches.
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.
