Customer support executive

Job Title : Automation Quality Engineer (Gen AI)

Experience : 3 to 5+ Years

Location : Bangalore / Chennai / Pune

Role Overview :

We’re hiring a Quality Engineer to lead QA efforts for AI models, applications, and infrastructure.

You'll collaborate with cross-functional teams to design test strategies, implement automation, ensure model accuracy, and maintain high product quality.

Key Responsibilities :

• Develop and maintain test strategies for AI models, APIs, and user interfaces.
• Build automation frameworks and integrate into CI/CD pipelines.
• Validate model accuracy, robustness, and monitor model drift.
• Perform regression, performance, load, and security testing.
• Log and track issues; collaborate with developers to resolve them.
• Ensure compliance with data privacy and ethical AI standards.
• Document QA processes and testing outcomes.

Mandatory Skills :

• Test Automation : Selenium, Playwright, or Deep Eval
• Programming/Scripting : Python, JavaScript
• API Testing : Postman, REST Assured
• Cloud & DevOps : Azure, Azure Kubernetes, CI/CD pipelines
• Performance Testing : JMeter
• Bug Tracking : Azure DevOps
• Methodologies : Agile delivery experience
• Soft Skills : Strong communication and problem-solving abilities

Job Title : Data Scientist – NLP & LLM

Experience Required : 4 to 5+ Years

Location : Gurugram

Notice Period : Immediate Joiner Preferred

Employment Type : Full-Time

Job Summary :

We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.

Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python

Key Responsibilities :

• Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
• Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
• Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
• Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
• Perform data preprocessing, feature extraction, and training pipeline development.
• Evaluate model performance and iterate with scalable solutions.
• Collaborate with engineering and product teams to integrate models into production.

Required Skills :

• 4 to 5+ years of hands-on experience in Data Science and NLP.
• Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
• Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
• Familiarity with prompt engineering and fine-tuning LLMs is a plus.
• Excellent problem-solving and communication skills.

Company: Kredit Venture

About the company:

KreditVenture is seeking a Technical Product Manager to lead the development, strategy, and

execution of our SaaS applications built on top of Loan Origination Systems and Lending Platforms.

This role requires a strong technical background, a product ownership mindset, and the ability to

drive execution through both in-house teams and outsourced vendors. The ideal candidate will play

a key role in aligning business goals with technical implementation, ensuring a scalable, secure,

and user-centric platform.

Job Description

Job Title: Senior Manager / AVP / DVP – Technical Product Manager

Location: Mumbai (Ghatkopar West)

Compensation: Upto 25 LPA

Experience: 7-8 years (Designation will be based on experience)

Qualification: 

- Bachelor’s degree in Computer Science, Engineering, or a related field.

- An MBA is a plus.

 Roles and Responsibilities

Technology Leadership:

• Lead SaaS Platform Development – Strong expertise in full-stack development (Java, Python, MERN stack) and cloud-based architectures.
• API & Workflow Design – Drive microservices-based REST API development and implement business process automation.
• Third-Party Integrations – Enable seamless API integrations with external service providers.
• Code Quality & Best Practices – Ensure code quality, security, and performance optimization through structured audits.

Vendor & Delivery Management:

• Outsourced Vendor Oversight – Manage and collaborate with external development partners, ensuring high-quality and timely delivery.
• Delivery Governance – Define SLAs, monitor vendor performance, and proactively escalate risks.
• Quality Assurance – Ensure vendor deliverables align with product standards and integrate smoothly with internal development.

Collaboration & Stakeholder Engagement:

• Customer Insights & Feedback – Conduct user research and feedback sessions to enhance platform capabilities.
• Product Demos & GTM Support – Showcase platform features to potential clients and support sales & business development initiatives.

Platform Development & Compliance:

• Component Libraries & Workflow Automation – Develop reusable UI components and enable no-code/low-code business workflows.
• Security & Compliance – Ensure adherence to data protection, authentication, and regulatory standards (e.g., GDPR, PCI-DSS).
• Performance Monitoring & Analytics – Define KPIs and drive continuous performance optimization.

Preparing Business Case for new projects in alignment with BU Head and Business

Solutioning Team.

 Developing the commercial strategy and the commercial direction of projects

 Monitoring the progress of projects

 Review use cases and other technical documents to ensure business requirements are

adequately reflected in planning documents.

 Develop MIS aligned to critical performance metrics identified.

 Oversee the AOP exercise of the Region/ BU and monitor actual vs. AOP

 Works closely within the unit and with business partners to identify and maximize

opportunities and to improve products and services.

 Assist Regional Head in developing tactical and strategic products, services and/or

programs to support the region’s goals.

Experience & attributes

 5-7 years’ experience in business analysis and project management with multinational

corporations or Big 4 accounting firms. Experience in Market Intelligence, Competitive

and Corporate Intelligence preferred.

 Prior experience in telecom sector most preferred.

 Strong Financial modelling skills with ability to analyse and assess the financial viability

of long-term projects using financial metrics.

 Possess excellent problem-solving abilities, ability to develop and analysis business

plans.

 Knowledge and understanding of project management principles, practices, process and

techniques including the ability to gather clear business requirements.

 Proven experience working with MS Office suite and developing and maintaining various

analyses and reporting tools.

• Measure the sales effectiveness efforts using data science/app/digital nudges.
• Should be able to work on the clickstream data
• Should be well versed and willing to work hands-on various Machine Learning techniques

Skills

• Ability to lead a team of 5-6 members.
• Ability to work with large data sets and present conclusions to key stakeholders.
• Develop a clear understanding of the client’s business issue to inform the best approach to the problem.
• Root-cause analysis
• Define data requirements for creating a model and understand the business problem
• Clean, aggregate, analyze, interpret data and carry out quality analysis of it
• Set up data for predictive/prescriptive analysis
• Development of AI/ML models or statistical/econometric models.
• Working along with the team members
• Looking for insight and creating a presentation to demonstrate these insights
• Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects.

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

Skills and Experience

• 4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)

• Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.

• Experience in monitoring production workload with relevant metrics and dashboards.

• Experience in writing automation scripts using Shell, Python, Terraform, etc.

• Experience in following security practices while setting up the infrastructure. 

• Self-motivated, able, and willing to help where help is needed

• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility  

Roles and Responsibilities

• Manage various resources across different cloud providers. (Azure, AWS, and GCP)

• Monitor and optimize infrastructure cost.

• Manage various kubernetes clusters with appropriate monitoring and alerting setup.

• Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.

• Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.

• Assist the support team with escalated customer issues.

• Develop, improve, and thoroughly document operational practices and procedures. 

• Responsible for setting up good security practices across various clouds.