DATA QA MANAGER

Strong Senior AI/ML / GenAI / AI Engineer Profiles

Mandatory (Experience 1) – Must have minimum 5+ years of total software development experience, with at least 2+ years working on Gen AI / AI / LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

What will you need to be successful in this role?

• Own end-to-end engineering and delivery for an organisation of ~150–200 people across client-deployed and product-owned engagements.
• Build and develop the leadership layer of Delivery Managers, Software Development Architects, and Solution Architects.
• Own P&L across all engagements – revenue, margin, cost, SOW governance, and contract negotiation.
• Own senior client relationships and lead governance forums (QBRs, steering committees) for top accounts.
• Drive engineering quality, technical standards, and engineer career development across the organisation.
• Establish the operating rhythm – weekly delivery review, monthly engineering review, quarterly client governance.
• Support pre-sales through estimates, proposals, and client pitches, and identify growth opportunities within accounts.
• 18+ years of total experience spanning engineering and delivery, with 5+ years in senior leadership.
• Proven track record running an organisation of 100+ engineers with direct P&L responsibility.

Good to have:

• Experience running both client-deployed (staff augmentation, embedded teams) and product-owned delivery models in one organisation.
• Technical awareness across Angular, React, .NET, Java, Node.js, Python, AWS, Azure, GCP, Docker, and Kubernetes.
• Exposure to AI-enabled delivery (RAG, agentic systems, MCP, A2A).
• Hands-on familiarity with Jira Align, MS Project, or similar portfolio tooling.
• MBA or equivalent business qualification; relevant certifications a plus (PMP, PgMP, SAFe).

Competencies:

• Engineering leadership and technical depth – credible with architects and senior engineers on architecture and trade-offs.
• Strong commercial acumen across P&L ownership, contract governance, and margin management.
• Excellent communication (written, verbal, presentation), persuasion, and negotiation skills at executive level.
• Proven ability to coach and develop delivery managers, architects, and senior engineers as a manager-of-managers.
• Sound judgement under pressure, balancing multiple priorities and stakeholders.
• A proactive, can-do and can-think approach to organisational change and problem-solving.
• Excellent academic record – B.E./B.Tech CS/IT with MBA or M.S.

Location: Remote

Job description:

Must have basic knowledge of Software Technologies like PHP, JavaScript, etc.

The ideal candidate will be responsible for planning, coordinating, and implementing projects within the decided-upon budget, timeline, and scope. They will also effectively monitor and present project updates to relevant stakeholders, clients, or project team members.

Responsibilities:

1. Set project timeline

2. Monitor project deliverables

3. Monitor project baseline to ensure activities progressing as planned

4. Monitor project burndown charts

5. Monitor employee's performance with KPI's

6. Update relevant stakeholders or team members on the project progress

7. Coach and support project team members with tasks you assign them

At least 4 years' experience as a Node.js developer.

Experience in Microservices

Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

Mandatory experience in Postgres and MySql.

Knowledge of front-end technologies such as HTML5 and CSS3.

Superb interpersonal, communication, and collaboration skills.

Exceptional analytical and problem-solving aptitude.

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Hello to the Amazing Devs out there,

We're ToastApp. We're on a mission to revamp the Dine-In experience for the customers as well as for the restaurants.

We're growing rapidly and this search for a new techie is to enable us and push for exponential growth. This is where you come in. You're a proactive, sharp and self-motivated individual who is eager to learn and take ownership across our applications. You love communicating and working with others in your team towards success, taking us from where we are now to where we want to be!

Our ideal candidate has:

Strong knowledge of Python (3+ years)

Experience with Redis and queues (Celery/Dramatiq)

Strong knowledge of MongoDB and PSQL DBs

Experience with modern APIs based on REST (Flask, FastAPI)

Fluent English and excellent communication skills

Passion for writing clean code and tests

Nice to have:

Experience creating products for developers, data engineers and/or data consumers

Experience with ElasticSearch

Hands-on approach and is proactive

A keen eye for detail, striving for perfection

Our tech stack:

Python, Flask

Redis

RabbitMQ

Mongo, MySQL

Github

On a typical day, you will:

Uphold our high engineering standards and bring consistency to our product development

Create and develop new functionalities as well as maintain existing ones

Write clean and scalable code

Write code-reviews

Learn best practices from other team members

Benefits:

Our team is based out of Hyderabad. We believe the best work happens when given lots of uninterrupted time that's free of distractions.

8L - 28L Based on experience

ESOPs

22 days holidays

Performance-based Quarterly Bonus

Responsibilities

• Delivering a complete front end application
• Ensuring high performance on mobile and desktop
• Writing tested, idiomatic, and documented JavaScript, HTML and CSS
• Coordinating the workflow between the graphic designer, the HTML coder, and yourself
• Cooperating with the back-end developer in the process of building the RESTful API
• Communicating with external web services

Skills and Qualifications

• Proficiency with JavaScript and HTML5
• Professional, precise communication skills
• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience
• Creating self-contained, reusable, and testable modules and components
• Ensuring a clear dependency chain, in regard to the app logic as well as the file system
• Ability to provide SEO solutions for single page apps
• Extensive knowledge of CSS and JS methods for providing performant visual effects and keeping the framerate above 30fps at all times
• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system
• Validating user actions on the client side and providing responsive feedback
• Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed
• Creating custom, general use modules and components which extend the elements and modules of core AngularJS
• Experience with all levels of operation available to the front-end, such as from creating XHRs in vanilla JS to using a custom wrapper around $resource
• Experience with building the infrastructure for serving the front-end app and assets
• Architecting and automating the build process for production, using task runners or scripts
• Documenting the code inline using JSDoc or other conventions
• Writing extensive unit tests using automated TDD tasks
• Creating e2e test suites for all components, and running them with Protractor (or a well reasoned alternative)
• Creating configuration, build, and test scripts for Continuous Integration environments