Business Analyst (EDI Domain)

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

Responsibilities

• Server Side Programming Languages: PHP & Laravel (MUST)
• Framework: Express, Sails.js, Laravel, Node.js .
• Web Server technologies: Apache, Nginx.
• Database creation and integration: MySQL (MUST), PostgreSQL, MongoDb.
• Cloud computing integration e. g., public cloud providers like Amazon Web Services, or private cloud environments.
• Integration of user-facing elements developed by front-end developers with server side logic.
• Optimisation of the application for maximum speed and scalability.
• Implementation of security and data protection.
• Design and implementation of data storage solutions.
• Creating database schemas that represent and support business processes.
• Setup and administration of backups.
• Management of hosting environment, including database administration and scaling an application to support load changes

    Requirements

• Knowledge of presenting data in different formats
• Bachelor's degree or equivalent experience in Computer Science with minimum 5+ years of industry experience.
• Technical depth across multiple languages.
• Able to meet deadlines.
• Leadership experience.
• Strong communications skills.
• Proficient in writing REST APIs.

• Experience / strong knowledge in both iOS & Android Mobile Application technologies
• Proficient in SwiftUI, Swift, Xcode, Java, Kotlin and Android Studio, Flutter, React Native
• Experience with version control: Maven, Gradle, Git, Cocopods
• Experience in application submission / provisioning process
• Experience in performance and memory tuning
• Good understanding of computer science concepts, design patterns, algorithms and data structures

Bonus Points:

• Experience / knowledge in any of the Back-End technologies

• 2-4 years of work experience, preferably in a startup
• An engineering degree preferably, from a top-tier school (or equivalent experience)
• Hands-on experience in the JavaScript ecosystem, libraries, and tooling (ES6/7), React.js, and Redux
• Knowledge of React Hooks is an added advantage.
• Expert knowwledge of HTML/CSS, web standards, best practices
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• An experience of writing clean, well documented, semantic code with responsiveness and cross-browser compatibility in mind
• Ability to improvise, troubleshoot, and learn new skills on the job.
• Proficient understanding of code versioning tools, such as Git/SVN
• Excellent coding and debugging skills
• A passion and the ability to make beautiful, smooth, delightful web experiences
• A "Will Do" attitude

• A team of aces, from top-tier schools and startups, to work with
• A fast-paced, data-driven, and fun work environment
• A huge appetite for new, disruptive, creative, and implementable ideas
• An open work culture

• Competitive salary
• Great working environment, opportunity to work directly with the founders on very exciting real-life problems.
• Opportunity to grow really fast.
• Opportunity to hire a team & mentor them in the future.
• ESOPs

1. Shortlist
2. Intro call of 15min
3. Assignment
4. 1-2 Tech rounds
5. HR round
6. Offer rollout

Job Description :

- Should have handson experience of more than 1+ years

- Good knowledge of NodeJS, ExpressJS or Restify

- Should have good knowledge of JavaScript.

- Experience implementing frontend using Angular 2+.

- Any database knowledge (SQL.Mongo or NoSQL)

- Basic understanding of version control using GIT

- TypeScript knowledge would be a plus

- Should have good logical skills.

• He/She will be a part of a very agile short-cycle development with continuous integration in a dynamic start-up environment
• He/She will elaborate on technical concepts and actively integrate your own ideas and visions into the product
• He/She will do code reviews and support your colleagues in the daily business.
• Should have done Minimum three projects using any of these following technologies: Angular 2+
• Should have scored 7.0+ CGPA.
• Experience with building the infrastructure for serving the front-end app and assets
• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience

• 3+ years of experience in native android app development.
• Strong programming experience in Core Java, Android SDK
• Experience working with Kotlin is a plus
• Experience working with Media player
• Experience working with offline app & content security, Encryption and Decryption  
• Experience working with FCM 
• Experience with web services integration, REST API framework, social media and other third party integrations
• Write good quality code, unit tests, automation and performing code reviews.
• Should have Experience of Social Integration.
• Ready to take complete ownership of multiple products, work alone on project if required  
• Good knowledge in Android services/Framework layer and its debugging
• Experience with version control systems, preferably Git.
• Shipped multiple Android Applications that are currently available in the Google Play Store
• Good knowledge of data structures, algorithms and time/space complexity analysis.

• Good problem solving abilities.

• Ability to communicate well with Product and Engineering Team

• Experience with a start-up would be added advantage.