Graphic Design internship

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 

AI Agent Builder – Internal Functions and Data Platform Development Tools

About the Role:

We are seeking a forward-thinking AI Agent Builder to lead the design, development, and deployment, and usage reporting of Microsoft Copilot and other AI-powered agents across our data platform development tools and internal business functions. This role will be instrumental in driving automation, improving onboarding, and enhancing operational efficiency through intelligent, context-aware assistants.

This role is central to our GenAI transformation strategy. You will help shape the future of how our teams interact with data, reduce administrative burden, and unlock new efficiencies across the organization. Your work will directly contribute to our “Art of the Possible” initiative—demonstrating tangible business value through AI.

You Will:

•                 Copilot Agent Development: Use Microsoft Copilot Studio and Agent Builder to create, test, and deploy AI agents that automate workflows, answer queries, and support internal teams.

•                 Data Engineering Enablement: Build agents that assist with data connector scaffolding, pipeline generation, and onboarding support for engineers.

•                 Knowledge Base Integration: Curate and integrate documentation (e.g., ERDs, connector specs) into Copilot-accessible repositories (SharePoint, Confluence) to support contextual AI responses.

•                 Prompt Engineering: Design reusable prompt templates and conversational flows to streamline repeated tasks and improve agent usability.

•                 Tool Evaluation & Integration: Assess and integrate complementary AI tools (e.g., GitLab Duo, Databricks AI, Notebook LM) to extend Copilot capabilities.

•                 Cross-Functional Collaboration: Partner with product, delivery, PMO, and security teams to identify high-value use cases and scale successful agent implementations.

•                 Governance & Monitoring: Ensure agents align with Responsible AI principles, monitor performance, and iterate based on feedback and evolving business needs.

•                 Adoption and Usage Reporting: Use Microsoft Viva Insights and other tools to report on user adoption, usage and business value delivered.

What We're Looking For:

•                 Proven experience with Microsoft 365 Copilot, Copilot Studio, or similar AI platforms, ChatGPT, Claude, etc.

•                 Strong understanding of data engineering workflows, tools (e.g., Git, Databricks, Unity Catalog), and documentation practices.

•                 Familiarity with SharePoint, Confluence, and Microsoft Graph connectors.

•                 Experience in prompt engineering and conversational UX design.

•                 Ability to translate business needs into scalable AI solutions.

•                 Excellent communication and collaboration skills across technical and non-technical

Bonus Points:

•                 Experience with GitLab Duo, Notebook LM, or other AI developer tools.

•                 Background in enterprise data platforms, ETL pipelines, or internal business systems.

•                 Exposure to AI governance, security, and compliance frameworks.

•                 Prior work in a regulated industry (e.g., healthcare, finance) is a plus.

Job Roles & Responsiblities:

• 4+ years of experience in .NET Core, C#, EF Core, SQL Server, Rest API, MVC, Webform
• Good to have exposure in Azure & Azure DevOps
• Strong Experience in Micro Services Architecture.
• Cloud Azure
• Azure Kubernetes
• Knowledge of Docker is advantageous
• SOLID Principles
• Good to have exp in SonarCloud
• Should have team leading experience

• Starting and stopping SAP instance.
• User administration – setup and maintenance.
• Authorization / Role / Profiles – setup and maintenance.
• Setup SAP security.
• Maintenance of system's health.
• Monitor system performance and logs.
• Spool and print administration.
• Maintain system landscape.

What You'll Do:

• Understand the upcoming development requirement of product in depth.
• Design product architecture as per vision, insights and concurred direction.
• Design and develop the APIs using Java, Spring, and Hibernate required for the product and expose them to be used by the front-end developers.
• Design the database and tables in MySQL/PostGreSQL/NoSQL (whichever is suitable for the need of the product) and guide the team to utilize them in the best possible way.
• Get involved in continuous maintenance of the product and get the bugs fixed in time.
• Coordinate the workflow between the UX Designers and front-end developers.
• Work on integrating flows with external tools - Segment, Branch, Clevertap.

Ideal Profile:

• Proficiency in Core Java & Spring framework.
• Expertise in Web Service technologies.
• Experience in building the architecture as per the product’s need.
• Experience in building REST APIs using Java/Spring.
• Excellent knowledge in Databases and code integrations such as Postgres SQL, SQL Server, MySQL.
• Experience in full life cycle development of a product (specifically mobile products) is a plus.
• Experience with Java/Spring-Boot, Hibernate Cloud Services, AWS.
• Experience with security principles and frameworks.
• Knowledge of modern authorization mechanisms, such as JSON Web Token and OAuth2 - Familiarity with code versioning tools (primarily Git).
• Essential skills are Core Java/J2EE, functional aspects, Spring Framework, Tomcat, SVN, Git, Postman/Newman.
• Should have worked in Agile methodologies.
• Good object-oriented and problem-solving skills.
• Strong communication skills along with the ability to work in a highly collaborative environment.

Position- Backend Lead

Location : Pune/Bangalore

Exp : 10+ years

Prefer Mid Jan joiners

• 8+ years’ experience in Core Java / J2EE, Tomcat, Application Server, Web Services, spring, Spring Boot, Hibernate, messaging systems.
• 10 years min with Team leading experience
• Java 8+, Docker Container, Continuous Integration /Continuous Deployment
• Spring Boot,
• Microservice Architecture,          
• PostgreSQL, Azure,MySQL,
• Docker Container, Continuous Integration /Continuous Deployment         

tl;dr

🤓 An early employee of an experienced team. A lot of impact and opportunities to learn or deepen new technologies like GPT3, Amazon Rekognition, FFmpeg and more.

💰 Fixed Salary + Stock-Options

About

Blend is an AI-driven graphic design tool for entrepreneurs that removes decision making to create professional-grade product catalogs. Entrepreneurs can now create product marketing material in a few seconds to stand out and sell better online. Instead of manipulating pixels, users edit objects. Deep learning models ensure the translation of pixels into objects.

What you'll do

Blend app, an AI-driven design tool, will help its users create stunning designs within seconds.

To help us get to our vision faster, we are looking for an Engineer to join us on our app development front. This developer:

• 👩‍💻 Would work on our Flutter codebase writing cross platform code for both Android and iOS.
• 🎨 Work closely with product and design to create amazing user experiences.
• 🐜 Watch out and fix production issues, and target on running a smooth experience.
• 📈 With the help of the rest of the team, you maintain a great app with few bugs and trustable analytics: KPIs, logs, crash logs, boards.

Above all, you would be the owner of the app side of things. Drive it to success. That will be the goal.

We are tech/langugage agnostic when it comes to developers, so the only hard requirement is to be smart and passionate. That being said, having the skills below will be an advantage:

• Experience working with Flutter and/or Dart
• Experience with React/React Native (makes it easier to pick up flutter)
• Experience with Native app development (sooner or later you might get to a point where you need to write native modules as well)

How we work:

• Team: you are humble, open to challenge, and like to help others grow. The most important is the progress of the team and the product.
• Impact: you can prioritize your time to build what will give users superpowers or wow them.
• Learning: learning and sharing knowledge makes you happy. At Blend, this holds true as a team, with machine learning, and with our users.

Hiring process:

3-steps process:

• Screening call
• Technical Interview
• Cultural fit interview with the founders