Robotics Process Automation Business Analyst (remote job)

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

• Design and develop mobile applications in true service oriented architecture.
• Building mobile applications on Android platform using Java, Kotlin, etc
• Worked on major architectures like MVVM, MVP

Overview: 

We are seeking an experienced Node.js developer with a passion for esports to join our team. The ideal candidate will have a strong track record of building and maintaining web applications using Node.js and a proven ability to work effectively in a team environment. Experience in the esports industry is a plus. 

Responsibilities: 

• Develop and maintain web applications using Node.js and related technologies 
• Write clean, maintainable, and efficient code 
• Collaborate with the design and product management teams to implement new features and functionality 
• Work with the DevOps team to ensure proper deployment and monitoring of applications 

• Troubleshoot and debug issues as they arise 
• Write and maintain comprehensive documentation 

Requirements: 

• Strong professional experience with JavaScript and Node.js 
• Experience with building and deploying web applications 

• Familiarity with web development frameworks such as Express or Koa 
• Experience with Git and version control 
• Strong problem-solving and communication skills 

Preferred: 

• Experience in the esports industry 

• Experience with cloud technologies such as AWS or Azure 
• Familiarity with front-end development technologies such as HTML, CSS, and React 
• Experience with data persistence technologies such as MongoDB or MySQL 
• Experience with testing frameworks such as Jest or Mocha 

TUBR is working on Innovating Crowd Management on public transport. We are building the state of the art Time series Machine Learning Models to predict the crowds in public transport.

Job Description

We are looking for a React Native developer on a Full time contract basis, who is interested in building performant mobile app on both the iOS and Android platforms aligned with strong Agile Development methodologies. You will be responsible for building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities

- Build pixel-perfect, buttery smooth UIs across both mobile platforms

- Leverage APIs for deep integrations with both platforms.

- Diagnose and fix bugs and performance bottlenecks for performance that feels native

- Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things

- Maintain code and write automated tests to ensure the product is of the highest quality

Skills

- Work as part of a small team to build React Native iOS / Android application

- 2+ years of experience in React Native development.

- Firm grasp of the JavaScript language and its nuances, including ES6+ syntax

- Ability to write well-documented, clean Javascript code

- Rock solid at working with third-party dependencies and debugging dependency conflicts

- Familiarity with native build tools, like XCode, Gradle, Android Studio

- Understanding of REST APIs, the document request model, and offline storage

- Experience with automated testing suites.

- Bachelor’s degree in Computer Science or related fields

- We are looking for a someone who is happy to work in a team or solo but must be confident working independently. (The team will be available to support but pairing won’t always be an option)