Marketing intern

Google Workspace Apps Developer

About the Role

Kinematic Digital is seeking an experienced Software Developer specializing in Google Workspace application development. The ideal candidate will create, maintain, and enhance custom applications and integrations within the Google Workspace ecosystem, including Google Docs, Sheets, Drive, Gmail, and Calendar.

Key Responsibilities

- Design and develop custom Google Workspace applications using Google Apps Script and Google Cloud Platform

- Create automation solutions and workflow improvements using Google Workspace APIs

- Build integrations between Google Workspace and other enterprise systems

- Implement security best practices and ensure compliance with Google's security guidelines

- Maintain and update existing Google Workspace applications and scripts

- Debug and optimize application performance

- Provide technical documentation and support training materials

Required Qualifications

- Bachelor's degree in Computer Science, Software Engineering, or related field

- 3+ years of experience in software development

- Strong proficiency in JavaScript and Google Apps Script

- Experience with Google Workspace APIs and SDK

- Knowledge of HTML5, CSS3, and modern web development practices

- Understanding of RESTful APIs and web services

- Experience with version control systems (Git)

- Strong problem-solving and analytical skills

Preferred Qualifications

- Google Cloud Platform certification

- Experience with Google Workspace Add-ons development

- Knowledge of OAuth 2.0 and security protocols

- Familiarity with Google Apps Script Advanced Services

- Experience with Node.js and modern JavaScript frameworks

- Background in enterprise software development

- Experience with Workspace administrative tasks and configurations

Technical Skills

- Languages: JavaScript, HTML5, CSS3

- Platforms: Google Apps Script, Google Cloud Platform

- APIs: Google Workspace APIs (Docs, Sheets, Drive, Gmail, Calendar)

- Tools: Google Cloud Console, Apps Script IDE, Git

- Security: OAuth 2.0, Google Cloud IAM

Required Experience with Google Workspace Development

- Creating custom functions and macros for Google Sheets

- Building automation workflows across Workspace applications

- Developing custom sidebars and dialogue interfaces

- Managing document permissions and sharing programmatically

- Implementing time-triggered and event-driven scripts

- Creating custom menus and user interfaces

- Working with Google Workspace Add-ons

Project Examples

The successful candidate will work on projects such as:

- Automated document generation and management systems

- Custom reporting and analytics dashboards

- Workflow automation between different Google Workspace applications

- Integration with third-party systems and databases

- Custom forms and data collection solutions

- Document approval and review systems

- Team collaboration tools and templates

Location

- Pune, Mumbai or Remote

Position Overview:

The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices.

Key Responsibilities:

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods

• Continuously evaluate new model capabilities and AI technology trends

Required Skills:

• Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures

• Knowledge of multi-provider LLM integration and orchestration

• Understanding of distributed systems, microservices, and load balancing

• Strong grounding in AI model governance and benchmarking

• Awareness of data security and privacy best practices

• Experience with retrieval-augmented generation (RAG) and vector databases

Preferred (Bonus) Skills:

• Experience with function-calling and knowledge graphs

• Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

• Advanced Linux / Unix support experience required.
• · Strong shell scripting and python programming skills for SRE related activities required.
• · Understanding on Veritas Cluster Service, Load Balancers, VMWare and Splunk required.
• · Knowledge on ITIL principles required.
• · Effective oral and written communication skills, and interpersonal skills to work well in a team environment required.
• · Strong organizational and coordination skills with the ability to manage multiple tasks and high-pressure situations for outage handling, management or resolution.
• · Be available for weekend work.

As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.

• Development of automation scripts and pipelines for deployment and monitoring of new production environments.

• Development of automation scripts for upgrades, hotfixes deployments and maintenance.

• Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.

• Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.

• Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.

• Write Knowledge articles to document known issues and best practices.

• Conduct regression tests to validate solutions or workarounds.

• Work in a globally distributed team.

What achievements should you have so far?

• Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.

• Experience with containerization, deployment, and operations.

• Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).

• Good experience with Linux systems and Shell scripting.

• Basic cloud experience, preferably oriented on MS Azure.

• Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).

• Good Networking skills and experience.

• Having Terraform or CloudFormation knowledge will be considered a plus.

• Ability to analyze a task from a system perspective.

• Excellent problem-solving and troubleshooting skills.

• Excellent written and verbal communication skills; mastery in English and local language.

• Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.

A Product based company is looking out for software engineers in the following categories.
If your profile matches any of the skills&experience categories and you are looking for a change,  Salary won't be a constraint for the right candidate

Category : 0 to 2 years of experience in mobile applications development for android or iOs platforms.