3+ Data profiling Jobs in India

Required Skills: Advanced Flutter & Dart Expertise, Scalable Mobile Architecture Design, Performance Optimization & Profiling, OTT & Media App Engineering, Code Quality, Leadership & Cross-Functional Collaboration

Criteria:

• 6+ years of total software development experience with minimum 3+ years in Flutter
• Product-based company experience is mandatory (B2C scale preferred)
• Proven ability to own end-to-end Flutter mobile architecture for high-scale apps
• Strong expertise in Dart, Flutter SDK internals, and advanced state management (Bloc / Riverpod / Provider)
• Hands-on experience with platform channels and native integrations (Android & iOS)
• Deep knowledge of performance optimization: app startup time, FPS, memory leaks, widget rebuilds, rendering pipeline
• Experience with profiling tools (Dart DevTools, Android Profiler, Xcode Instruments)
• Strong skills in offline-first architecture, caching layers, and API integrations
• Ability to optimize video playback, downloads, DRM, and OTT workflows
• Strong command of clean code, SOLID principles, and scalable mobile system design
• Experience reviewing code and mentoring engineers (Senior IC role)

Description

Role Overview

We are looking for an experienced Flutter SDE III who can take complete ownership of architecture, performance optimization, and app scalability for our OTT mobile applications. This is a senior individual contributor role requiring deep technical expertise and the ability to influence design decisions at a product level.

Key Responsibilities

1. Architecture & Design (High-Impact IC Role)

• Own the end-to-end architecture of company’s Flutter mobile applications.

• Design scalable, modular, testable app ecosystems aligned with OTT-specific performance constraints.

• Lead decisions around state management, navigation hierarchy, API structure, offline capabilities, and security.

2. Performance & Device Optimization

• Diagnose and resolve mobile performance bottlenecks, including:

  o App startup time, FPS drops, memory leaks.

  o Heating issues, over-rendering, and expensive widget rebuilds.

  o Battery optimization, efficient network calls, caching strategy.

• Run in-depth profiling using tools like Dart DevTools, Android Profiler, and Xcode Instruments.

3. OTT-Specific Engineering

• Optimize video playback workflows for low-latency streaming.

• Implement efficient background processes for downloads, DRM, content sync, and push notifications.

4. Product & User Experience Ownership

• Collaborate closely with Product, Backend, and Video Engineering teams.

• Convert business/product requirements into high-performance technical solutions.

• Ensure UI/UX consistency across platforms while maintaining performance budgets.

5. Code Quality & Leadership

• Write clean, extensible, and maintainable code with strong adherence to SOLID and reactive programming principles.

• Review code for mid-level and junior engineers; act as a mentor across teams.

• Establish engineering standards, internal frameworks, and reusable components for long-term scalability.

Required Skills & Experience

Technical Must-Haves

• 6+ years of total experience with 3+ years in Flutter for large-scale products.

• Mandatory product-based company background (B2C scale preferred).

• Strong expertise in:

  o Dart, Flutter SDK internals

  o Bloc, Riverpod, Provider, or other state management approaches

  o Custom animations, rendering pipeline, shader-based optimization

  o Platform channels (Android/iOS) and native integrations

  o API integration, caching layers, offline-first architecture

• Strong understanding of mobile system design, scalable architecture, and low-level performance engineering.

Good to Have

• Experience with video streaming apps, OTT platforms, or media-heavy applications.

• Understanding of analytics frameworks (Firebase, Segment, Mixpanel).

• Exposure to CI/CD pipelines, automated testing, and fastlane.

Personality & Mindset

• Product thinking, not just feature-building.

• Ownership-driven with strong ability to take strategic technical decisions.

• Comfortable working in a fast-paced 0→1 and scale-up environment.

Why Join company?

• Work on a high-growth OTT app with millions of users.

• Opportunity to own the core mobile experience end-to-end.

• Build impact-heavy features at scale with a lean, highly skilled engineering team.

Position: QA Engineer – Machine Learning Systems (5 - 7 years)

Location: Remote (Company in Mumbai)

Company: Big Rattle Technologies Private Limited

Immediate Joiners only.

Summary:

The QA Engineer will own quality assurance across the ML lifecycle—from raw data validation through feature engineering checks, model training/evaluation verification, batch prediction/optimization validation, and end-to-end (E2E) workflow testing. The role is hands-on with Python automation, data profiling, and pipeline test harnesses in Azure ML and Azure DevOps. Success means probably correct data, models, and outputs at production scale and cadence.

Key Responsibilities:

Test Strategy & Governance

• ○ Define an ML-specific Test Strategy covering data quality KPIs, feature consistency
• checks, model acceptance gates (metrics + guardrails), and E2E run acceptance
• (timeliness, completeness, integrity).
• ○ Establish versioned test datasets & golden baselines for repeatable regression of
• features, models, and optimizers.

Data Quality & Transformation

• Validate raw data extracts and landed data lake data: schema/contract checks, null/outlier thresholds, time-window completeness, duplicate detection, site/material coverage.
• Validate transformed/feature datasets: deterministic feature generation, leakage detection, drift vs. historical distributions, feature parity across runs (hash or statistical similarity tests).
• Implement automated data quality checks (e.g., Great Expectations/pytest + Pandas/SQL) executed in CI and AML pipelines.

Model Training & Evaluation

• Verify training inputs (splits, windowing, target leakage prevention) and hyperparameter configs per site/cluster.
• Automate metric verification (e.g., MAPE/MAE/RMSE, uplift vs. last model, stability tests) with acceptance thresholds and champion/challenger logic.
• Validate feature importance stability and sensitivity/elasticity sanity checks (price/volume monotonicity where applicable).
• Gate model registration/promotion in AML based on signed test artifacts and reproducible metrics.

Predictions, Optimization & Guardrails

• Validate batch predictions: result shapes, coverage, latency, and failure handling.
• Test model optimization outputs and enforced guardrails: detect violations and prove idempotent writes to DB.
• Verify API push to third party system (idempotency keys, retry/backoff, delivery receipts).

Pipelines & E2E

• Build pipeline test harnesses for AML pipelines (data-gen nightly, training weekly,
• prediction/optimization) including orchestrated synthetic runs and fault injection
• (missing slice, late competitor data, SB backlog).
• Run E2E tests from raw data store -> ADLS -> AML -> RDBMS -> APIM/Frontend, assert
• freshness SLOs and audit event completeness (Event Hubs -> ADLS immutable).

Automation & Tooling

• Develop Python-based automated tests (pytest) for data checks, model metrics, and API contracts; integrate with Azure DevOps (pipelines, badges, gates).
• Implement data-driven test runners (parameterized by site/material/model-version) and store signed test artifacts alongside models in AML Registry.
• Create synthetic test data generators and golden fixtures to cover edge cases (price gaps, competitor shocks, cold starts).

Reporting & Quality Ops

• Publish weekly test reports and go/no-go recommendations for promotions; maintain a defect taxonomy (data vs. model vs. serving vs. optimization).
• Contribute to SLI/SLO dashboards (prediction timeliness, queue/DLQ, push success, data drift) used for release gates.

Required Skills (hands-on experience in the following):

• Python automation (pytest, pandas, NumPy), SQL (PostgreSQL/Snowflake), and CI/CD (Azure
• DevOps) for fully automated ML QA.
• Strong grasp of ML validation: leakage checks, proper splits, metric selection
• (MAE/MAPE/RMSE), drift detection, sensitivity/elasticity sanity checks.
• Experience testing AML pipelines (pipelines/jobs/components), and message-driven integrations
• (Service Bus/Event Hubs).
• API test skills (FastAPI/OpenAPI, contract tests, Postman/pytest-httpx) + idempotency and retry
• patterns.
• Familiar with feature stores/feature engineering concepts and reproducibility.
• Solid understanding of observability (App Insights/Log Analytics) and auditability requirements.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 5–7+ years in QA with 3+ years focused on ML/Data systems (data pipelines + model validation).
• Certification in Azure Data or ML Engineer Associate is a plus.

Why should you join Big Rattle?

Big Rattle Technologies specializes in AI/ ML Products and Solutions as well as Mobile and Web Application Development. Our clients include Fortune 500 companies. Over the past 13 years, we have delivered multiple projects for international and Indian clients from various industries like FMCG, Banking and Finance, Automobiles, Ecommerce, etc. We also specialise in Product Development for our clients.

Big Rattle Technologies Private Limited is ISO 27001:2022 certified and CyberGRX certified.

What We Offer:

• Opportunity to work on diverse projects for Fortune 500 clients.
• Competitive salary and performance-based growth.
• Dynamic, collaborative, and growth-oriented work environment.
• Direct impact on product quality and client satisfaction.
• 5-day hybrid work week.
• Certification reimbursement.
• Healthcare coverage.

How to Apply:

Interested candidates are invited to submit their resume detailing their experience. Please detail out your work experience and the kind of projects you have worked on. Ensure you highlight your contributions and accomplishments to the projects.

Job Description::

• Promoting client businesses through social media and marketing platforms

• Execute marketing strategies and implementation of marketing plan

• Working on achieving target and generating revenue, Brochure/ Catalogue designing

• Participating in Event Will be responsible to bring students to the Institute

• Banding of Company

• Social media management

• Energetic, Smart

Skills::

• Company Profile Recruiter is interested to get potential application for this job opening.

• Recruiter will proceed your potential application and will be in touch with you shortly.

Website - https://praxinfo.com/">https://praxinfo.com/