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About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

• Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
• Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
• Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
• Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
• Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
• Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
• Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
• Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
• Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
• Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
• Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city

Company: IDFC First Bank

About the company:

IDFC Limited was set up in 1997 to finance infrastructure projects in India. With time, the company diversified into asset management, institutional broking and investment banking. In 2014, the Reserve Bank of India granted in-principal approval to IDFC Limited to set up a new bank in the private sector.

Role Overview:

QA Overview: A Quality Analyst with a focus on Automation and Manual Testing is responsible for ensuring the quality of software products across web, mobile, and API platforms. This role involves designing, implementing, and executing test plans, both manually and through automated testing tools, to identify and address defects. The Quality Analyst will also be proficient in database testing, ensuring the integrity and reliability of data interactions within the system.

Job Description

Job Title: QA tester

Location: Chennai

Compensation: Commensurate with Experience

Experience: 5-10 Years

Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

• Proven experience in both manual and automated testing. 
• Strong proficiency in automation tools (e.g., Selenium, Appium) and scripting languages. 
• Experience with web, mobile, API, and database testing.
• Familiarity with agile development methodologies.
• Excellent analytical and problem-solving skills. 
• Key Competencies: - Automation scripting (e.g., Java, Python, JavaScript), SQL and database querying skills - Attention to detail - Collaboration and communication - Analytical thinking

Key Responsibilities: 

1. Test Planning and Design: Develop comprehensive test plans based on project specifications. Design and document test cases for web, mobile, API, and database testing. Collaborate with development teams to understand system requirements. 
2. Automation Testing:  Develop and maintain automated test scripts using industry-standard tools (e.g., Selenium, Appium). - Execute automated test suites and Analyse results. - Identify opportunities for test automation and implement efficient testing strategies. 
3. Manual Testing: Execute manual test cases for functional, regression, and performance testing. - Document and report defects, providing detailed information for developers. - Conduct exploratory testing to identify unforeseen issues. 
4. Web, Mobile, and API Testing: Perform end-to-end testing of web and mobile applications. - Validate API functionality and integration points. - Ensure compatibility across different browsers and mobile devices. 
5. Continuous Integration: Design, implement and maintain CI pipelines for automated testing and deployment - Integrate automated tests into CI workflows to enable early detection of defects - Continuously assess and optimize CI processes for speed, efficiency and reliability
6. Database Testing: Develop and execute SQL queries to validate data integrity. - Verify data transformations and migrations. - Identify and address performance issues related to database interactions. 
7. Collaboration: Work closely with developers, product managers, and other stakeholders to understand requirements and user stories. - Participate in agile ceremonies, providing input on quality-related aspects. 
8. Test Documentation: Maintain detailed and organized documentation of test cases, results, and issues. - Create and update testing documentation as the application evolves. 

Job Description:

Years Of Experience: 3 – 4 Years

We are looking for a dynamic UI/UX designer who will be responsible for the user experience (UX) and user interface (UI) design of our various digital assets. You will ensure that all elements of the online user experience are optimized for improved usability, usefulness, and exceptional visual design.

The successful candidate will evidence a passion for delivering adaptive and creative solutions to UI/UX design problems by staying up to date with best practices and emerging trends in user experience design and user interface technology.

UI UX Designer Responsibilities:

· Investigating user experience design requirements for our suite of digital assets.

· Developing and conceptualizing a comprehensive UI/UX design strategy for the brand.

· Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.

· Designing UI elements and tools such as navigation menus, search boxes, tabs, and widgets for our digital assets.

· Testing UI elements such as CTAs, banners, page layouts, page designs, page flows, and target links for landing pages.

· Collaborating with the marketing team, and internal and external designers to ensure the creation and delivery of tailored experiences for the digital user.

· Providing advice and guidance on the implementation of UX research methodologies and testing activities in order to analyze and predict user behavior.

· Adhering to style standards on typography and graphic design.

UI UX Designer Requirements:

· A bachelor's degree and a minimum of 3 years UI/UX design experience for digital products or services.

· A portfolio of professional UI/UX design work for both web and mobile platforms.

· Working knowledge of the following technologies and software: Sketch, InVision, Visio, HTML, CSS (SCSS), iOS, Android, Design Systems, and Adobe Creative Suite.

· A team player but can work independently too.

· Excellent written and verbal communication skills.

· Multi-tasking and time-management skills, with the ability to prioritize tasks.

Are you interested in joining the team behind Amazon’s newest innovation? Come help us work on world class software for our customers!

The Amazon Kindle Reader and Shopping Support Engineering team provides production engineering support and is also responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success

Job responsibilities

• Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services
• Work on operations and maintenance driven coding projects, primarily in Java and C++
• Software deployment support in staging and production environments
• Develop tools to aid operations and maintenance
• System and Support status reporting
• Ownership of one or more Digital products or components
• Customer notification and workflow coordination and follow-up to maintain service level agreements
• Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill set

BASIC QUALIFICATIONS

• 4+ years of software development, or 4+ years of technical support experience
• Experience troubleshooting and debugging technical systems
• Experience in Unix
• Experience scripting in modern program languages
• Experience in agile/scrum or related collaborative workflow
• Experience troubleshooting and documenting findings

PREFERRED QUALIFICATIONS

• Knowledge of distributed applications/enterprise applications
• Knowledge of UNIX/Linux operating system
• Experience analyzing and troubleshooting RESTful web API calls
• Exposure to iOS (SWIFT) and Android (Native) App support & development

• 2- 4 years’ experience in solution integration/delivering, and interfacing with customers.
  
• Hands-on experience in SQL and PL/SQL.
• Experience of working in agile teams in implementing large scale digital solutions.
• Good in programming & analytical skills
• Experience in dynamic programming language Python with Django
• Good understanding on enterprise integration, API development, and scalability
• Experience in Software Tools like: Git, Visual Studio code, Jenkins
• Solid experience in System Integration cycles, e.g., code review, source control, code
• quality
• automation scanning, bug scrub, feature testing and product release.
• Able to handle oncall support for bugs caused from delivery
• We are looking for people to co-work with us at our base location (Chennai)
• Ability to co-work with internal teams to optimise and fine tune the integration process
• and move towards a low-code integration framework

• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.