Admission Counselor

About the Role

We are seeking motivated Data Engineering Interns to join our team remotely for a 3-month internship. This role is designed for students or recent graduates interested in working with data pipelines, ETL processes, and big data tools. You will gain practical experience in building scalable data solutions. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Assist in designing and building data pipelines for structured and unstructured data.
• Support ETL (Extract, Transform, Load) processes to prepare data for analytics.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Help optimize data workflows for performance and scalability.
• Collaborate with data scientists and analysts to ensure data quality and consistency.
• Document workflows, schemas, and technical processes.

Requirements

• Strong interest in data engineering, databases, and big data systems.
• Basic knowledge of SQL and relational database concepts.
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of ETL concepts and data pipelines.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Familiarity with big data frameworks (Hadoop, Spark, Kafka) is an advantage.
• Good problem-solving skills and ability to work independently in a remote setup.

What You’ll Gain

• Hands-on experience in data engineering and ETL pipelines.
• Exposure to real-world data workflows.
• Mentorship and guidance from experienced engineers.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

AI Engineer – Supaboard.ai

Location: Bengaluru, India (On-site, 5 days a week)

Experience Level: 2–5 years

Compensation: ₹8 – ₹16 LPA

Tech Stack: Python, TypeScript, OpenAI/Anthropic APIs, Hugging Face, Vector DBs

Employment Type: Full-time, In-office

About Supaboard.ai

Supaboard.ai is building an intelligent data analytics platform powered by modern AI systems, enabling teams to transform their raw data into dashboards, insights, and automations—instantly.

We combine analytics, automation, and AI into a single powerful engine used by fast-growing teams.

We’re looking for an AI Engineer who loves working with models, fine-tuning, LLM orchestration, and building AI-driven features that scale.

Key Responsibilities

• Fine-tune open-source LLMs (e.g., Llama, Mistral, T5, Qwen) for internal use cases like text classification, summarization, extraction, and agent workflows.
• Develop, test, and optimize prompt engineering strategies for production use-cases.
• Build and maintain pipelines for training, evaluating, and deploying custom AI models.
• Integrate models with Supaboard’s backend using Python, TypeScript, and cloud-based AI platforms.
• Work with libraries like Hugging Face Transformers, LangChain, OpenAI, Gemini, Anthropic, and vector databases (Pinecone/Weaviate).
• Create high-accuracy evaluation datasets and design automated evaluation harnesses.
• Optimize performance, latency, and reliability of AI-powered features in production.
• Collaborate with product, engineering, and data teams to design and implement AI-driven product features.

Requirements

• Strong proficiency in Python (must) and basic experience with TypeScript (preferred).
• Solid understanding of LLMs, embeddings, tokenization, model architectures, and NLP pipelines.
• Prior experience fine-tuning or training open-source models using PyTorch, Hugging Face, or similar frameworks.
• Experience calling and orchestrating external LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
• Ability to design prompts, tune them, and create deterministic and reliable chains/flows.
• Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and retrieval pipelines.
• Familiarity with cloud environments (AWS/GCP) and deploying AI workloads.
• Good understanding of evaluation metrics and experiment tracking (W&B or similar).
• Strong debugging skills and an ownership-driven mindset.

Nice to Have

• Experience building agents, tool-calling workflows, and multi-model pipelines.
• Knowledge of distributed training, quantization (GGUF/GGML), or optimization techniques (LoRA, QLoRA, PEFT).
• Experience building AI-based features for data analytics or SaaS products.
• Familiarity with FastAPI or Node-based backend services.

Why Supaboard.ai?

• Build a core part of India’s next-gen AI analytics platform.
• Work with cutting-edge open-source AI models and real-world production workloads.
• Massive ownership, high impact, and a fast-paced startup environment.
• A culture that rewards learning, curiosity, and technical growth.

We are looking for someone who wants to assume team and project handling responsibilities; someone who is seeking better stability and work-life balance without compromising on growth.

- Minimum 2+ years of hands-on experience in Android & Flutter development.

- Strong in Java Programming and OOPS Concepts.

- Knowledge of problem-solving, multi-threading and complexity analysis.

- Experience with design patterns like MVVM, Provider etc.

- Experience in Android application development experience using Java, Kotlin & Flutter.

- Design and develop Mobile applications using Flutter.

- Must be able to deploy app in Play store & App store.

- Expert in Android User Interface Development and Understanding of best practices for the same.

- Independently drive the development of Android-based applications.

- Ability to work with web services on the Android platform (consuming REST/SOAP APIs) and related underlying technologies (JSON, XML).

- Self-driven and able to work with minimal direction.

- Problem-solving expertise in critical steps.

- Hands-on experience with Android studio & Gradle build system.

- Knowledge of Linux, Git, Relational Databases, XML and JSON is a must.

- Hands-on practice with CI/CD tools

- Memory optimization and Debugging skills.

• Responsible for providing L1/L2 technical enablement to company customers/partners for any product issues 
• Ensure that the customer issues are managed within target Service Level Agreements (SLA) and all the incoming technical and product inquiries are responded to, in a timely, professional and effective manner. 
• Participate in solution development and publications for the company knowledge base resources 
• Report common user issues, suggest product improvements and convey important product feedback 
• Formulate action plans (technical and operational) for analyzing and resolving reported product issues 
• Stay updated on all product features- current, new & in the pipeline. Work closely with the Product 

Our Ideal Candidate:

• Comes with 2 to 6 years of Technical & Customer-Facing experience, preferably in a System Engineer, Technical Support, or Product Support role 
• Preferably someone from Engineering / MCA background
• Possesses thorough knowledge of Javascript, CSS & HTML 
• Gets a thrill in solving everyday problems. 
• That zeal to not let go of a customer without a solution. 
• Demonstrates impeccable communication and interpersonal skills, and the confidence to work directly with senior executives from large enterprise companies   
• Flexible to align with customers from the North American (9 PM to 6 AM), European (1 to 10 PM), or A&Z (6 AM to 3 PM) time zones, on a rotational basis 

• Automate and maintain ML and Data pipelines at scale
• Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
• Maintain and expand our on-prem deployments with spark clusters
• Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure

• 5 years of IT experience in data-driven or AI technology products
• Understanding of ML Model Deployment and Lifecycle
• Extensive experience in Apache airflow for MLOps workflow automation
• Experience is building and automating data pipelines
• Experience in working on Spark Cluster architecture
• Extensive experience with Unix/Linux environments
• Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
• Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
• Experience with Kubernetes or Docker Swarm
• Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
• Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
• Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
• Hands-on software and hardware troubleshooting experience.
• Experience documenting and maintaining configuration and process information.
• Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch

MINIMUM QUALIFICATIONS, Roles and responsibilties:

• BS/MS in Computer Engineering or related technology field
• 10+ Years of Experience in Software Development
• Experience in  writing code for embedded systems, Proficient in C/C++ coding and intel DPDK
• Understanding of network interface drivers
• Experience with VMware, AWS, MSAzure, Google Cloud Platform.
• Knowledge of micro services and containerization
• Experience in building Networking Security Products
• Knowledge of Networking, TCP/IP Protocol Suite
• Design, code embedded features/solutions for the ShieldX Product
• Design write, extend and troubleshoot datapath code for switching, routing, NAT, TCP and TLS
• Work closely with other development , Product and Test Teams

• BS/MS in Computer Engineering or related technology field
• Excellent communication and Team player skills
• Should be a self-starter and be able to adopt to dynamic fast-paced environment.
• Able to work 40 hours a week