Human Resource

Job Description: Node.js Developer (3+ Years Experience)

Division/Department: Engineering

Industry: Insurance / Fintech

Employment Type: Full-Time, Permanent

Job Summary

We are looking for a skilled Node.js Developer who is experienced with JavaScript/TypeScript, databases, and modern AI development tools. You will build and maintain backend applications, design scalable systems, and use AI tools to enhance development productivity. The role involves backend development, database management, API development, and cloud deployment.

What You’ll Be Doing

Backend Development

• Build and maintain Node.js applications, services, and APIs.
• Write clean, readable JavaScript/TypeScript code.
• Create and manage REST APIs; work with GraphQL when required.
• Develop microservices and containerized applications (Docker).
• Participate in code reviews and help maintain coding standards.

Database Work

• Design database schemas for PostgreSQL, MongoDB, and Redis.
• Write optimized SQL and NoSQL queries.
• Implement indexing and manage database performance tuning.
• Handle database scaling and caching strategies.

AI Tools & Productivity

• Use AI coding assistants (GitHub Copilot, Cursor AI, Tabnine).
• Integrate AI APIs (OpenAI, Claude) into backend applications.
• Build features powered by AI/ML capabilities.
• Use AI tools to debug and enhance code quality.

Deployment & Operations

• Deploy applications on AWS, Azure, or GCP.
• Set up CI/CD pipelines (GitHub Actions, Jenkins).
• Work with Docker and Kubernetes.
• Monitor backend services and perform troubleshooting.

Job Requirements

Must-Have (2–7 Years Experience)

• Strong hands-on experience with Node.js and Express.js.
• Excellent understanding of JavaScript/TypeScript, ES6+, async/await.
• Experience with at least one major database: PostgreSQL, MongoDB, Redis.
• Knowledge of API development (REST, GraphQL).
• Hands-on experience with Git and version control.
• Experience with testing tools like Jest, Mocha, or similar.

AI Tools Experience

• Familiarity with AI coding assistants.
• Working with AI APIs (OpenAI, Claude, etc.).
• Experience using AI tools for debugging and code optimization.
• Basic understanding of prompt engineering.

Bonus Skills (Good to Have)

• Cloud platforms: AWS, Azure, Google Cloud.
• Docker, Kubernetes.
• CI/CD pipelines.
• Frontend exposure (React/Vue/Angular).
• Message queues: RabbitMQ, Kafka.
• Caching: Redis, Memcached.
• API security: JWT, OAuth2.

Mandatory Skills

Technical

• Experience building and deploying Node.js applications.
• Strong command over databases and efficient query writing.
• Comfort with AI-based coding tools.
• Ability to debug and solve backend issues independently.

Soft Skills

• Strong communication and teamwork skills.
• Self-driven and eager to learn new technologies.
• Ability to mentor junior developers (for senior positions).

Job Description: AI/ML Engineer

Location: Gurgaon, Haryana, India

Position: AI/ML Engineer -Intern

Stipend: As per industry standards

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Key Responsibilities:

1. Model Development and Optimization:

• Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
• Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.

1. Advanced Data Engineering:

• Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
• Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.

1. Algorithm Research and Development:

• Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
• Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.

1. Deployment and MLOps:

• Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
• Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.

1. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

6. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

1.      7. Collaboration and Code Quality:

• Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
• Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.

     8.Monitoring and Maintenance:

• Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
• Implement feedback loops for model retraining based on real-time data and evolving application needs.

Required Skills, Qualification and Experience:

Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier       institutions.

• Technical Proficiency:
• Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
• Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
• Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
• Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.

Execute projects: Exceptional quality

Plan collaboratively: Detailed project

Liaise with clients: Manage expectations

Supervise projects: Ensure & maximize efficiency

Maintain standards: Conduct reviews

Generate reports: Data insights

We are currently hiring for multiple Talent Acquisition Partner positions for our team at www.qrata.co, Qrata is a talent startup that helps scale funded startups globally, we work with most of the top VCs in India as well as help build remote engineering teams for US/Europe-based startups. We will be launching our talent product to analyze talent using machine learning to help our customers find the right fit.

Responsibilities

• Build an effective candidate pipeline through Inbound/Outbound sourcing channels with minimal dependency
• Source and recruit candidates by using databases, social media, and hiring portals (Naukri, IIM Jobs, LinkedIn etc.) and other creative sources
• Plan and execute candidate engagement activities, including owning the candidate experience from start to finish, pre-onboarding engagement, and post-joining engagement.
• Keep track of employee growth and the company's atmosphere and culture to ensure that it remains pleasant and productive.
• Research, mapping, company analysis, pitching, understanding the startup ecosystem, having intelligent discussions with talent and founders, preparing talent for interviews, and following up with talent are all things which need to be handled.
• Drive outcomes with zeal, think and act fast, and function long-term and in the best interests of the organization.

What are we Looking for

• Ability to work with a wide range of clients, including senior level business leaders and seasoned professional candidates within the engineering organization; proficient in using data to guide decisions and change
• Recognize how to recruit and keep the best brains from all walks of life while harnessing the potential of a diverse workforce.
• Ability to mix the position of strategic talent adviser with a sense of urgency while also managing and achieving outcomes in a fast-paced, expanding environment
• Proven track record of developing talent pipelines and sourcing
• Continuously developing talent pipelines and identifying suitable individuals is a plus.
• A thorough grasp of and application of recruitment metrics to guide decision-making is highly recommended.
• Ability to talk intelligently about the firm and respond to any technical inquiries posed by a prospective recruit
• 3 plus years of experience

Star Points if you have

• Startup Experience
• Effective client contact abilities at all levels
• Interpersonal skills and the capacity to interact effectively in a professional setting
• Consistent with our beliefs and values
• Initiative/leadership experience in projects or events
• Solid understanding of LinkedIn, Naukri, IIM platforms.

Responsibilities:

• Define the code review process for the team to follow and perform code reviews.
• Design, implement, and maintain Java-based applications that can be high-volume and low-latency.
• Ensure application designs conform with business goals.
• Develop and test software & Identify and resolve any technical issues arising.

Eligibility:

• 3+ yrs of experience developing web applications using J2EE / Java.
• Possess knowledge and skills in software programming in Core Java, J2EE, Microservices-related technologies, Spring Boot, Spring MVC, Rest API, JavaScript, and XML.
• Experience developing enterprise-level web applications and RESTful APIs using Microservices.
• Experience in API Management & in using version control and CI / CD tools.

• Skills -
  • Core (Must understand and conversant to code on at least two of these technologies)
    • Java 8+/ Spring Boot/Microservices
    • Spark
    • Scala
    • Angular
    • Javascript
    • ElasticSearch
    • Graph Database (Tinkerpop/Janusgraph)
    • MySQL/Oracle
    • AWS/Azure/GCP
  • Secondary
    • Version Control - Jira/Bitbucket/Git
    • Build Tools - Maven/SBT/Gradle
    • Security
    • Agile/Scrum methodology
    • Should be able to create and review designs/documents
    • Must be able to clearly articulate situations, problems and communicate ideas and solutions

• Must understand System Analysis and Design with understanding of Algorithms (implementation in any language is okay)
• Design optimal and performant solutions for product backlog items spanning technologies
• Work with Product Owner/Project Manager and UX lead for providing LoE estimates for Jira backlog items
• Lead and own delivery or work items (for self and team)
• 80% hands-on work items (self), 20% team responsibility
• Must be willing to learn new technologies, processes, business functions, (we measure this by OKR’s)

Qualifications and Skills

• Experience in React Native, Redux, CodePlus

• Need to have design/UI component knowledge on both Android/iOS platform.

• Capable of deploying the mobile app on both Android / iOS platform.

• Excellent knowledge in the integration of the NPM module within the environment.

• Good knowledge of data structure and algorithms

• Need to have experience in working with RestFul API service.

• Must have experience on version control SVN /GIT