Product Analyst

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.

If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.

Role Overview

We are seeking passionate AI/LLM Engineering Interns who can:

• Fine-tune LLMs for legal domain use-cases
• Train and experiment with open-source foundation models
• Work with large datasets efficiently
• Build RAG pipelines and text-processing frameworks
• Run model training workflows on Google Colab / Kaggle / Cloud GPUs

This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.

Key Responsibilities

• Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
• Build and preprocess legal datasets at scale
• Develop efficient inference & training pipelines
• Evaluate models for accuracy, hallucinations, and trustworthiness
• Implement RAG architectures (vector DBs + embeddings)
• Work with GPU environments (Colab/Kaggle/Cloud)
• Contribute to model improvements, prompt engineering & safety tuning

Must-Have Skills

• Strong knowledge of Python & PyTorch
• Understanding of LLMs, Transformers, Tokenization
• Hands-on experience with HuggingFace Transformers
• Familiarity with LoRA/QLoRA, PEFT training
• Data wrangling: Pandas, NumPy, tokenizers
• Ability to handle multi-GB datasets efficiently

Bonus Skills

(Not mandatory — but a strong plus)

• Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
• Familiarity with vLLM, llama.cpp, GGUF
• Worked on summarization, Q&A or document-AI projects
• Knowledge of legal texts (Indian laws/case-law/statutes)
• Open-source contributions or research work
• 
  

What You Will Gain

• Real-world training on LLM fine-tuning & legal AI
• Exposure to production-grade AI pipelines
• Direct mentorship from engineering leadership
• Research + industry project portfolio
• Letter of experience + potential full-time offer
• 
  

Ideal Candidate

• You experiment with models on weekends
• You love pushing GPUs to their limits
• You prefer research + implementation over theory alone
• You want to build AI that matters — not just demos

Location - Remote

Stipend - 5K - 10K

• Performing market research.
• Gathering and processing research data.
• Assisting with inventory control.
• Organizing staff meetings and updating calendars.
• Processing company receipts, invoices, and bills.
• Assisting and supporting management.
• Review data for deficiencies or errors, correct any incompatibilities if possible and check output
• Research and obtain further information for incomplete documents
• Apply data program techniques and procedures
• Generate reports, store completed work in designated locations and perform backup operations
• Scan documents and print files, when needed
• Keep information confidential

Key Responsibilities:

1. Training the field team on Sales pitch on regular basis

2. Responsible for revenue generation through sales

3. Drive the off-line lead generation activities for the cities (primarily through referrals) 4. Ensure

minimum 50% sales conversion on the leads assigned to the team 5. Figure out new channels

to generate more leads off-line and ensure conversions on the same 6. Regular evaluation of

the sales team through test and measure their performance 7. Improve the sales efficiency of

the sales team

8. Tracking MoM performance for each of the field sales team

9. Work on the reports for the management and ensure data sanity

10. Real time handling the objection during sales and assisting the field sales team when they

are in front of the client

11. Share feedback on the pricing, policy change and other circumstances which may cause

downfall in sales numbers

12. Conduct motivation sessions with team to keep their moral high

• Candidate Should have 5+ Years Of Experience in Core Java
• You will need strong development skills to work on and improve our Scala-based services, and be able to work together with senior teammates to create appropriate architectural design and ensure all aspects are appropriate to meet the business need.
• Excellent Functional Design and Functional Programming skills (more than 2 years of business experience in Scala and Java projects, respectively)
• Core skills in key supporting technologies and/or frameworks such as Play (AKKA) / Lagom
• Proven experience working in teams in the successful delivery of complex, performant and high quality products
• Excellent spoken and written communication skills
• Experience of SaaS (Software as a Service) environments
• Exposure to RESTful web APIs and a service oriented architecture
• Experience in Linux environments, Shell scripting etc
• Working with XML and JSON including parsing, asserting / matching and extracting
• Experience with Continuous Integration environments and build tools, including Terraform, Jenkins, Maven, Gradle and Ant
• Experience with messaging systems such as Apache Kafka, Amazon Kinesis, Amazon SQS and Rabbit MQ
• Experience working on Live platform SDKs such as Twilio, AWS Elemental

• Previous working experience as a MERN/MEAN  Stack Developer for 1 year (Minimum).
• In depth knowledge of NodeJS, ExpressJS or Restify
• Experience implementing applications using Angular 2+ versions or React
• Experience creating front end applications using HTML5, Angular/React, LESS/SASS
• Hands on experience with JavaScript
• Development on both client and server-side
• Experience on Angular 2+  and React Js will be an plus point
• Experience on both MEAN/MERN Technologies will be an advantage.

ob Purpose :

- To lead Design, Development and Maintenance of Frontend Technology for Viacom18's flagship OTT Platform - VOOT, plan & innovate to deliver best-in class product features, ensuring market leadership and future readiness.

- Head the technology team for Viacom18's flagship OTT Platform - VOOT by enhancing and future proofing the technological infrastructure and capabilities to build a world class product.

Key Responsibilities :

Technological Readiness :

- Strengthen VOOT's technological capability

- Evaluate Frontend technology stacks and choose best in class relevant solutions for business

- Build internal capability for technological functions for future readiness

- Drive technical and technological efficiencies to save cost

Technological Innovation :

- Identify avenues for product enhancement

- Convert relevant ideas to POC (Proof of Concept)

- Act as the technical product owner and work with product management team to deliver features and manage releases and enhancement

- Deliver best-in-class product functionality by minimizing crash rate, reducing improving playback time performance and ensuring maximum device coverage

Collaboration and Partner Management :

- Evaluate and finalize new partners for product enhancement from technical perspective

- Developing technological road maps in collaboration with Product team & external technology partners

- Timely and quality delivery of product/features, including outsourced functionalities and services with no downtime

Resource management of external partners to deliver results

Team management

- Work with the HR partner to create a workforce plan

- Review performance on regular basis

- Ensure optimum levels of engagement through appropriate recognition channels

- Provide inputs on hiring and succession planning

- Identify training needs by using TNA method

Key Performance Indicators :

- Develop best in class product functionality

- Ensure technological readiness for product

- Increase in the number of active daily video viewers

- Application Store rating

- Maintaining a crash rate & Maintain playability above 90%

- No. of new & high quality features rolled out on the platform

Skills : Front End, Android, iOS