11+ QA DB Jobs in India

Job title: Azure Architect

Locations: Noida, Pune, Bangalore and Mumbai

Responsibilities:

• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
• Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
• Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code review, design level technical best practices

Experience Needed:

• 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
• Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
• Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
• Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
• Worked with transactional, temporal, time series, and structured and unstructured data.
• Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Azure DW, Databricks, Python

We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.

What will you need to be successful in this role?

Core Technical Skills

• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Proven experience deploying production LLM applications with 1M+ tokens processed

• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling

• Production experience with RAG systems including hybrid search and re-ranking

• Deep understanding of embedding models and vector databases at scale

• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)

• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)

• Experience implementing multi-agent systems and orchestration

• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)

Advanced Capabilities

• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)

• Knowledge of knowledge graphs and graph-based RAG implementations

• Understanding of model hosting, inference optimization, and cost management

• Experience with MLOps pipelines, CI/CD for ML, and model versioning

• Ability to architect end-to-end ML solutions from data ingestion to deployment

• Experience with data pipelines and ETL for ML workflows

• Proficiency in containerization and orchestration (Docker, Kubernetes)

Client Engagement & Delivery

• Experience presenting technical solutions to clients and stakeholders

• Ability to translate business requirements into technical ML solutions

• Track record of delivering client POCs and production implementations

• Experience creating technical documentation and implementation guides

Good to have

• Experience hosting private LLMs (7B-13B models on-premises or cloud)

• Knowledge of graph databases (Neo4j) and graph neural networks

• Experience with streaming and real-time ML inference

• Published research papers or contributions to open-source ML projects

• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning

• AWS/Azure ML certifications or working towards them

Competencies

• Excellent verbal and written communication skills

• Strong mentoring ability for junior ML engineers

• Self-driven with ability to work independently on complex problems

• Excellent problem-solving skills with systematic debugging approach

• Proactive ownership of projects from ideation to deployment

• Ability to stay current with rapidly evolving AI/ML landscape

• Excellent academic record – B.E./B.Tech, MCA,

ROLE OVERVIEW:

• The Learning Architect will be a visionary and influential professional whose core responsibility is to strategically guide the development of innovative and effective learning services/products in a customer-facing capacity, often requiring travel to engage with customers. This role demands deep expertise across the entire learning services/products lifecycle, from initial customer consultation and conceptualization to successful implementation and evaluation, grounded in a strong understanding and application of various instructional systems design methodologies and emerging learning technologies. The Learning Architect will champion the strategic integration of simulations, AR/VR, game-based learning, gamification, and other new learning technologies to enhance both comprehensive macro learning programs and targeted micro learning initiatives, ensuring culturally sensitive and accessible learning experiences for diverse learners.

RESPONSIBILITES:

- Strategic Direction in Learning Services/Product Development & Customer Engagement:

- Define and champion the vision and strategy for customer-facing learning services/products, aligning with organizational goals and customer needs. Apply adult learning principles, instructional design (ADDIE, SAM, Agile ISD), and leverage simulations, AR/VR, gamification, and new technologies. Ensure quality, accessibility,

and cultural relevance.

- Human-Centric Learning Experience Design:

- Design innovative, engaging learning experiences using advanced instructional methodologies. Integrate simulations, AR/VR, and game-based learning to enhance knowledge transfer. Develop learning architectures that combine diverse content formats and interactive tools.

- Compelling Content Creation & Adaptation:

Oversee high-quality, culturally sensitive content development for macro and microlearning. Use AI ethically and explore AR/VR and games for immersive delivery.Innovate content formats to improve retention across diverse audiences.

Culturally Intelligent & Inclusive Design:

- Embed cultural intelligence and accessibility into all learning products, ensuring inclusivity in simulations, games, and AR/VR. Guide teams on localization, dialects, and accessibility for diverse learners.

- Digital Learning Development & Deployment:

Direct the use of authoring tools, LMS/LXPs, and digital platforms for scalable learning solutions. Evaluate emerging technologies (AR/VR, game development) to enhance learning impact, considering customer infrastructure.

- Quality & Impact Excellence:

Enforce rigorous QA standards for accuracy, functionality, and cultural appropriateness.Analyze feedback and analytics to improve learning effectiveness, particularly in game-based and immersive experiences.

-Strategic Thinking & Customer Alignment:

Align learning services with customer business needs, industry trends, and evolving learning technologies to foster long-term partnerships.

-Vision & Innovation Driver:

Promote innovation by adopting new technologies and pedagogical approaches,including simulations, AR/VR, and gamification, to deliver cutting-edge customer

solutions.

-Teamwork & Collaboration:

Foster collaboration between internal teams, SMEs, and customers, ensuring seamless integration of new learning technologies and clear communication.

- Communication & Influence:

Articulate the vision and benefits of learning solutions, including AR/VR and gamification,to stakeholders, building buy-in through persuasive, design-backed rationale.

- Developing Others:

Mentor teams in instructional design, cultural sensitivity, and emerging technologies,enhancing customer-focused expertise.

- Project Guidance & Partnership:

Ensure efficient project execution and strong customer relationships through proactive communication and alignment with their needs.

- QUALIFICATION AND EXPERIENCE:

• Advanced degree (Master’s required, PhD preferred) in ISD, Educational Technology,

• Learning Sciences, Game Design, HCI, or a related field, with expertise in ISD methodologies, AR/VR, and game-based learning.

• 12+ years of experience leading the strategic development of complex e-learning solutions, applying ISD models (ADDIE, SAM, Agile ISD) and innovative technologies in customer-facing roles.

• Strong knowledge of learning theories, human-centric design, CRM, and emerging tech (AR/VR, game design, AI-powered tools, and learning analytics).

• Proven leadership in managing product teams, engaging customers, and delivering inclusive, accessible global learning experiences.

• Strategic thinker with excellent project management (including Agile), communication, and presentation skills, particularly in advocating for new learning technologies.
• Commitment to cultural intelligence and accessibility in games/immersive tech.Willingness to travel and deep understanding of learning trends, ISD applications, and macro/micro learning best practices.

Experience: 3 to 5 Years

Location: Ahmedabad (WFO)

What We Are Looking For?

• MERN Stack Developer with 3–5 years of experience
• Strong in Node.js and React.js
• Good experience with MongoDB
• Minimum 1 year hands-on experience in Python
• Good understanding of REST APIs
• Able to write clean and reusable code
• Good communication skills

What You Will Do at Digicorp?

• Develop and maintain applications using Node.js, React.js, and MongoDB
• Work on Python-based tasks or modules whenever required
• Collaborate with the team to deliver high-quality features
• Fix bugs and improve overall application performance
• Share ideas, participate in discussions, and follow best coding practices

Knowledge of Gen AI technology ecosystem including top tier LLMs, prompt engineering, knowledge of development frameworks such as LLMaxindex and LangChain, LLM fine tuning and experience in architecting RAGs and other LLM based solution for enterprise use cases. 1. Strong proficiency in programming languages like Python and SQL. 2. 3+ years of experience of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks such as Regression , classification, ensemble model,RNN,LSTM,GRU. 3. 2+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 4. Proficiency in LangChain and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering 5. Proficiency in Generative techniques prompt engineering, Vector DB, LLMs such as OpenAI,LlamaIndex, Azure OpenAI, Open-source LLMs will be important 6. Hands-on experience in GenAI technology areas including RAG architecture, fine tuning techniques, inferencing frameworks etc 7. Familiarity with big data technologies/frameworks 8. Sound knowledge of Microsoft Azure

About the company:

Betterhalf.ai

Betterhalf is on a mission to help Indians find their match with single click matching. With 1M users and a presence in every city in India, our reach is expansive — and we’re rapidly growing users (50% quarter over quarter).

By mid next year, we'd like to become the 3rd largest player in the matrimony industry in India and make our path to being No.1. There’s never been a more exciting time to be at Betterhalf.

Company funding:

Betterhalf.ai has successfully raised a $3M Pre-Series A round and is backed by Y Combinator, Tribe Capital, Quiet Capital, Kunal Shah and Nobroker founders. Betterhalf is expected to do Series A in 9-12 months.

Your growth:

You’ll experience Series A, B in 24-months and become integrated as a Category Manager

You’ll see a 50-people team becoming a 150-people and will grab the rarest opportunity to be in the room where company’s decisions are planned with founders and marketing leaders.

Responsibilities:

• Work closely with Product teams to plan & develop features and extensions to existing product lines.
• Analyze sales data & research market trends, customer needs to develop key insights & growth opportunities. This workstream may involve ad-hoc RCAs / interventions on escalations.
• Work closely with sell-side & marketing teams to promote & create awareness for product lines.
• Work closely with CM’s  on integrating growth products with new launches as well as working on specific deep-dives for existing brand partners.
• Identify & build growth capabilities & enablers that will drive significant growth on online sales in India. These growth opportunities could span across affordability, third party services, monetization, new customer acquisition, supply growth & onboarding.
  
  

Qualifications:

Bachelor's degree, 2+ years in sales industry

Experience in full sales cycle, including deal closing. 

Demonstrated sales success

Strong negotiation skills

Strong communication and presentation skills

CRM experience is preferred

Compensation:

Fixed : 40-50k Per Month

Variable: as per performance

If you believe in Hustling and Getting the Job Done! Come Join us in our ambitious journey to revolutionize the Matrimony Industry.

Sr. Software Developer

Job Description:

• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Coordinate cross-functionally to insure project meets business objectives and compliance standards
• Responsible for regular enhancement of Algorithm
• Develop and support software architecture
• Responsible for DevOps planning
• Support test and deployment of new products and features
• Participate in code reviews

Skills Required:

• Excellent programming skills and knowledge of complete development process.
• Should have knowledge in PHP, CI, Node.JS, MySQL, MongoDB and Modern JavaScript.
• Knowledge of TDD tools

Qualification:

BE/B.Tech/MCA/Mtech/M.E/PHD

1. Develop and manage e-commerce websites, web applications & web sites.
2. Analyze, design, code, debug, test, document & deploy applications.
3. Participate in project & deployment planning.
4. Must be a self-starter & be able to work with minimum supervision
5. Exp. In modules/extensions development/customization.
6. Exp. In Theme integration/customization.
   
7. Exp. In API creation/integration.
   
8. Exp. In Migration from Magento1 to Magento2
9. Extensive experience of PHP and MySQL.
10. Exposure on Magento 2, CMS and JavaScript frameworks such as jQuery.
    
11. Demonstrable knowledge of XML, XHTML, CSS, Modules i.e. API integration,
12. Payment Gateways, XML with a focus on standards.
    
13. Demonstrable source control experience
    
14. Two or more published websites in E-Commerce