Aaizel International Technologies Pvt Ltd

Job Title: Application Developer Intern (Android & iOS)

Location: Gurugram, Haryana, India

Employment Type: Full-time Internship (Immediate Joiners Preferred)

Internship Duration: 6 Months (Can be extended/performance-based PPO)

Stipend: As per company norms

About Aaizel International Technologies Private Limited

Aaizel International Technologies Private Limited is a fast-growing technology company focused on building scalable web and mobile applications. We specialize in cross platform development using React Native, delivering seamless user experiences across Android, iOS, and web. Driven by innovation and eAiciency, we create high-performance digital solutions that solve real-world problems.

At Aaizel International Technologies Private Limited, we foster a culture of ownership, creativity, and continuous learning, empowering aspiring developers to build impactful products. Internship

Overview

We are looking for enthusiastic and passionate Application Developer Interns who are eager to learn mobile application development across Android and iOS platforms. The ideal candidate should have a strong programming foundation, an interest in mobile technologies, and a willingness to work on real-world projects under the guidance of experienced mentors.

Key Responsibilities

 Assist in developing and maintaining Android, iOS, and cross-platform mobile applications.

 Collaborate with senior developers to build scalable and user-friendly applications.

 Write clean, maintainable, and eAicient code.

 Integrate REST APIs and third-party services into mobile applications.

 Participate in debugging, testing, and performance optimization.

 Assist in application deployment and app store release processes.

 Work closely with UI/UX designers and backend developers.

 Learn and follow coding standards, version control practices, and software development methodologies.

Required Skills & Qualifications Educational Qualification:

 B.Tech/B.E., BCA, MCA, M.Tech, or equivalent in Computer Science, Information Technology, or related disciplines.

 Final-year students or recent graduates are encouraged to apply.

Technical Skills (Basic Knowledge Preferred)

 React Native

 Android (Java/Kotlin)

 iOS (Swift)

 React.js

 JavaScript, HTML, CSS

 ExpressJS (Basic)

 REST APIs

 MySQL/MongoDB (Basic)

 Git/GitHub Preferred Knowledge

 API Integration

 Authentication (JWT/OAuth)

 Firebase

 Local Database (SQLite/Realm)

 Payment Gateway Integration (Basic understanding)

 Push Notifications

 Cross-platform mobile development concepts

Soft Skills

 Strong analytical and problem-solving skills.

 Good communication and interpersonal skills.

 Quick learner with a positive attitude.

 Ability to work collaboratively in a team environment.

 Passion for mobile application development and emerging technologies.

What You'll Gain

 Hands-on experience working on live industry projects.

 Mentorship from experienced software developers.

 Exposure to modern mobile application development tools and frameworks.

 Opportunity to enhance technical and professional skills.

 Certificate of Internship upon successful completion.

Job Title: HR & Admin Head

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 8–10 Years

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 a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

We are seeking a dynamic and experienced HR & Admin Head at Aaizel Tech who can lead and manage the organisation’s human resources and administrative functions. This role requires a strategic thinker with strong interpersonal capabilities who can build robust HR frameworks, ensure compliance, and foster a high-performance work culture.

The ideal candidate will act as a bridge between leadership and employees, while also ensuring efficient administrative operations, workplace management, and infrastructure readiness to support growth.

Key Responsibilities

1. HR Strategy & Leadership

• Develop and implement HR strategies aligned with organisational goals

• Partner with leadership for workforce planning and organisational development

• Drive performance management systems and employee development initiatives

2. Payroll & Compliance Management

• Oversee payroll processing, compensation structuring, and benefits administration

• Maintain documentation and ensure audit readiness

• Ensure compliance with statutory regulations, including PF, ESIC, LWF, gratuity, and POSH (Prevention of Sexual Harassment) Act

• Act as/coordinate with the Internal Committee (IC) to ensure proper handling of POSH cases, awareness sessions, and compliance reporting

3. Employee Lifecycle & Engagement

• Manage end-to-end employee lifecycle (hiring to exit)

• Handle employee grievances with maturity, empathy, and confidentiality

• Drive engagement initiatives and build a positive workplace culture

4. HR Operations & Policy Development

• Design and implement HR policies, SOPs, and best practices

• Streamline HR processes for efficiency and scalability

• Maintain HR data, reports, and analytics

5. Administration & Facilities Management

• Oversee end-to-end administrative operations, including office management and workplace experience

• Manage vendor relationships, negotiations, and service delivery (housekeeping, security, IT assets, etc.)

• Handle facility management, space planning, and infrastructure readiness

• Manage procurement, inventory, and asset lifecycle tracking, including audits

• Supervise attendance systems (eSSL) and ensure accurate data integration with payroll

• Ensure compliance with workplace safety, security, and regulatory standards

• Monitor and optimise administrative budgets and operational costs

• Oversee travel, logistics, utilities, and day-to-day office operations

6. Team Leadership & Collaboration

• Lead and mentor the HR and Admin team

• Collaborate with cross-functional teams and stakeholders

• Promote a culture of accountability, ownership, and continuous improvement

Required Skills & Competencies

Core HR & Functional Skills:

• Strong expertise in payroll management and statutory compliance

• Proven experience in employee management and HR operations

• In-depth knowledge of labour laws and regulatory frameworks

• Hands-on experience with HRMS and payroll tools such as Keka

• Experience with attendance and access management systems like eSSL or similar platforms

• Ability to manage HR tech platforms for payroll, attendance, and employee data efficiently

• Strong exposure to administration, facility management, vendor handling, and procurement processes

• Experience in budget management and cost optimisation for admin functions

Soft Skills & Leadership Qualities:

• Excellent communication skills (verbal and written) with the ability to interact confidently with leadership and employees

• Strong people management and interpersonal skills

• High level of emotional intelligence, empathy, and conflict resolution ability

• Strong decision-making and problem-solving skills

• Ability to maintain confidentiality and professionalism at all times

• Effective negotiation and stakeholder management skills (including vendors and service providers)

• Strong organisational and time management abilities

• Adaptability and flexibility to work in a fast-paced, dynamic environment

• Leadership mindset with the ability to influence, mentor, and inspire teams

• Strong operational and execution-focused mindset with attention to detail

Educational Background:

• Bachelor’s or Master’s degree in Human Resources, tech background or a related field

• 8–10 years of relevant experience in HR & Administration, with leadership exposure

What We Offer

• Opportunity to lead and build the HR and Admin function in a growing organisation

• A collaborative and fast-paced work environment

• Exposure to leadership and strategic decision-making

• Career growth and development opportunities

• A culture focused on innovation and people excellence

Join Aaizel Tech and be part of a team that’s shaping the future of Big Data & AI-driven applications!

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

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 a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

About the job

Job Title: MLOps Engineer Intern

Company: Aaizel International Technologies Pvt. Ltd.

Location: Gurugram, Haryana (On-site)

Duration: 6 Months (PPO based on performance)

About Aaizeltech

Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, cybersecurity solutions, and intelligent embedded systems. We are looking for a passionate MLOps Engineer Intern eager to work on real-world machine learning infrastructure, cloud platforms, and deployment pipelines while collaborating with experienced AI/ML engineers.

Role Overview

As an MLOps Engineer Intern, you will assist in building, deploying, and maintaining machine learning pipelines and cloud infrastructure. You will gain hands-on experience in containerization, Kubernetes, CI/CD automation, model deployment, monitoring, and cloud-native technologies while contributing to production-ready AI solutions.

Key ResponsibilitiesMLOps

• Assist in building and maintaining end-to-end ML pipelines using tools such as Airflow, Kubeflow Pipelines, or Metaflow.
• Collaborate with AI/ML engineers to deploy machine learning models using , TensorFlow and Airflow orchestration.
• Containerize ML applications using Docker with Flask, FastAPI, or Django APIs.
• Support dataset versioning and experiment tracking using MLflow and DVC.
• Assist in maintaining model registries and ensuring reproducible ML workflows.
• Monitor deployed models for performance, data drift, and infrastructure health using tools such as Evidently AI, Prometheus, and Grafana.
• Support automated retraining workflows and model deployment processes.

Cloud & DevOps

• Assist in deploying and managing cloud infrastructure on AWS, GCP, or Azure.
• Support CI/CD pipeline development using GitHub Actions, GitLab CI, or Jenkins.
• Learn and contribute to Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Work with Docker and Kubernetes for application deployment and orchestration.
• Monitor cloud resources and optimize infrastructure performance.
• Follow DevOps and DevSecOps best practices for secure deployments.

Required Skills

• Good understanding of Linux, shell scripting, and networking fundamentals.
• Basic knowledge of Python programming.
• Familiarity with Docker and Kubernetes.
• Understanding of Git and CI/CD concepts.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Basic understanding of machine learning workflows and model deployment.
• Familiarity with REST APIs using Flask, FastAPI, or Django.
• Strong analytical, debugging, and problem-solving skills.
• Good communication and willingness to learn new technologies.

Preferred Skills

• Exposure to MLflow, DVC, Airflow, Kubeflow, or Metaflow, apache kafka.
• Familiarity with Terraform or other Infrastructure as Code tools.
• Knowledge of monitoring tools such as Prometheus or Grafana.
• Understanding of model serving frameworks like BentoML, TorchServe, or TensorFlow Serving.
• Knowledge of DevSecOps tools like SonarQube is an advantage.

Eligibility

• Final-year B.Tech/B.E./M.Tech/MCA students or recent graduates in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or related fields.
• Strong interest in MLOps, Cloud Computing, DevOps, and AI infrastructure.
• Prior academic projects, internships, or open-source contributions in ML or cloud technologies are a plus.

What You'll Gain

• Hands-on experience with production-grade MLOps and cloud infrastructure.
• Opportunity to work on real-world AI/ML products and scalable deployments.
• Mentorship from experienced AI/ML and DevOps professionals.
• Exposure to modern MLOps tools, Kubernetes, cloud platforms, and CI/CD workflows.
• Potential Pre-Placement Offer (PPO) based on performance.

Who You'll Work With

- AI/ML Engineers, Backend Developers, Frontend Developers, QA Team

-Product Owners, Project Managers, and external Government or Enterprise Clients

Senior AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 5+ Years

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.

Role Overview

As AI/ML Engineer, you will lead the development, deployment, and optimization of advanced AI systems spanning Generative AI, Large Language Models (LLMs), Agentic AI, Computer Vision, and intelligent automation. You will drive innovation, mentor junior engineers, and build scalable, production-ready AI solutions.

Key Responsibilities

AI Development & Research

• Design and develop end-to-end AI/ML solutions using Machine Learning, Deep Learning, and Generative AI techniques.
•  
• Build solutions involving NLP, Computer Vision, multimodal AI, anomaly detection, and predictive analytics.
•  
• Develop and optimize LLM-based applications, RAG pipelines, and Agentic AI workflows.
•  
• Fine-tune and evaluate foundation models, including LLMs and Vision Language Models (VLMs).
•  
• Research, prototype, and productionize state-of-the-art AI techniques.

Model Optimization & Deployment

• Optimize models for performance, scalability, latency, and real-time inference.
•  
• Apply model compression techniques such as quantization, pruning, and distillation for edge and cloud deployments.
•  
• Deploy AI applications using Docker, Kubernetes, and modern model-serving frameworks.
•  
• Implement MLOps/LLMOps practices, CI/CD pipelines, model versioning, monitoring, and observability.

Collaboration & Leadership

• Collaborate with cross-functional teams to integrate AI capabilities into end-to-end products.
•  
• Mentor junior engineers, conduct code reviews, and promote engineering best practices.
•  
• Maintain technical documentation and contribute to architectural decisions.

Preferred Technology Stack

Programming: Python, SQL

AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face, PyTorch Lightning

Generative AI & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy

LLMs & RAG: OpenAI, Gemini, Anthropic APIs, FAISS, Pinecone, Milvus, Qdrant, Weaviate

Computer Vision & Edge AI: OpenCV, ONNX Runtime, TensorRT, OpenVINO, Tesseract OCR

MLOps/LLMOps: Docker, Kubernetes, MLflow, Kubeflow, Weights & Biases, GitLab CI/CD

Cloud: AWS, Azure, GCP

Monitoring: Prometheus, Grafana, LangSmith, Evidently AI

Databases: PostgreSQL, MongoDB, Redis

Required Skills & Qualifications

• 5+ years of experience in AI/ML, Deep Learning, or related domains.
•  
• Strong proficiency in Python and hands-on experience with PyTorch, TensorFlow, and Hugging Face ecosystem.
•  
• Experience building LLM applications, RAG systems, and Agentic AI solutions.
•  
• Strong understanding of Generative AI, Transformers, Prompt Engineering, and modern NLP techniques.
•  
• Experience in Computer Vision and deploying optimized models in cloud and/or edge environments.
•  
• Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
•  
• Proven ability to translate research into scalable production systems.
•  
• Excellent problem-solving, communication, leadership, and mentoring skills.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI solutions.
• Continuous learning, research, and career growth opportunities.
• Collaborative and innovation-driven work culture.
• Opportunity to build impactful, next-generation AI products.

How to Apply

• Please submit your resume, portfolio, and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech’s success.

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.

Job description

Job Title: Application Developer

Location: Gurugram Haryana India

Employment Type: Full-time (Immediate joiner preferred )

Experience : 2-5 years (In Android and iOS both)

About Aaizel Tech:

Aaizel Tech is a fast-growing technology company focused on building scalable web and mobile applications. We specialize in cross-platform development using React Native, delivering seamless user experiences across Android, iOS, and web.

Driven by innovation and efficiency, we create high-performance digital solutions that solve real-world problems. At Aaizel Tech, we foster a culture of ownership, creativity, and continuous learning, empowering developers to build impactful products.

Role Overview:

We are looking for an experienced App Developer with strong expertise in developing, deploying, and maintaining scalable applications. The candidate should have a proven track record in app development across platforms, hands-on technical proficiency, and the ability to lead and mentor development teams.

Key Responsibilities:

• Lead mobile application development (Android, iOS, and cross-platform).
• Architect, design, and deliver scalable and secure app solutions.
• Collaborate with product, design, and backend teams to deliver seamless apps.
• Write clean, efficient, and reusable code while ensuring code reviews and best practices.
• Integrate third-party APIs, payment gateways and authentication services.
• Manage deployments and app store releases.
• Mentor junior developers and conduct technical training sessions.
• Stay current with latest frameworks, tools, and certifications relevant to app development.

Required Skills, Qualifications and Experience:

● Educational Background: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.

● Experience: 2-5 years of hands-on mobile application development experience.

● Technical Skills:

• React Native, Native IOS & Andriod, React.js, AngularJS, Cordova, ExpressJS, ExtJS, Ionic, Java/J2EE, JMeter, JavaScript/jQuery, MongoDB/NoSQL DB, MySQL, PHP, PHP Yii, PL/SQL, React, Python, Dell Boomi, VB.NET.

Expertise in platforms/databases:

MySQL, MongoDB, Microsoft SQL, PostgreSQL, Redis, Docker.

Relevant Functional/Domain Expertise:

• API Integration & Authentication.
• Localisation of applications.
• Payment Gateway & SMS Gateway Integration.
• Digital Signature Integration, E-Sign, DigiLocker.
• Offline service capabilities, Single Sign-On (SSO).
• Interoperability and E-Commerce systems.

● Soft Skills:

○ Excellent problem-solving and analytical skills.

○ Strong communication skills with the ability to document and present technical information clearly.

○ Ability to work independently and as part of a multidisciplinary team.

What We Offer:

● Competitive salary aligned with industry standards.

● A collaborative and innovative work environment with access to advanced resources.

● Opportunities for professional growth and skill development.

● Engaging projects that challenge your technical expertise.

Job Title: Embedded Firmware Engineer (RF Focus)

Location: Gurgaon, Haryana (On -site)

Employment Type: Full-Time

Experience: 3-5 years

We’re hiring an Embedded Firmware Engineer (3–5 yrs) with strong experience in Sub-GHz RF, LoRa/LoRaWAN, and IoT systems. The role focuses on firmware development, RF communication, and secure telemetry.

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.

Responsibilities

• Develop firmware for STM32 (WL/H/L/F series)

• Design & implement Sub-GHz RF (403/433/868/915 MHz) systems

• Work on LoRa PHY/MAC & LoRaWAN stack (OTAA/ABP, uplink/downlink)

• Perform RF testing & debugging (RSSI, SNR, range testing, SDR/spectrum tools)

• Implement secure communication (AES-128/256, CRC/SHA)

• Develop drivers: UART, SPI, I2C, ADC, DMA

• Work with FreeRTOS (tasks, queues, ISRs, low power)

• Build communication stacks: RS485/Modbus, RS232, MQTT, TCP/IP, UDP

• Implement bootloader & OTA updates

• Debug using SWD/JTAG, logic analyzer, DSO

• Optimize for performance, power, and RF reliability

Requirements

• 3–5 years in embedded firmware + RF systems

• Strong in Embedded C, STM32CubeIDE, HAL/LL

• Hands-on with LoRa/LoRaWAN & Sub-GHz communication

• Understanding of RF fundamentals (link budget, interference, antennas)

• Experience in secure communication (AES)

• Good knowledge of FreeRTOS & industrial protocols (RS485/Modbus)

• Strong debugging skills (firmware + RF)

• Basic hardware/RF PCB understanding

Good to Have

• Experience with ChirpStack / TTN

• Knowledge of FSK/GFSK

• RF certification exposure (CE/FCC/ETSI)

How to Apply

• Please submit your resume, portfolio, and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech’s success.

Job Title: Social Media & Marketing Intern (Technical Background Preferred)

Location: Panchkula, Haryana

Duration: 6 Months

Type: Internship (Paid)

Joining: Immediate joiner (Preferred)

About Company

Aaizel Tech is an innovative technology startup working in AI, cybersecurity, and digital solutions. We create impactful digital content and are looking for a creative Video Editor Intern with a technical mindset.

Roles & Responsibilities

• Manage and handle company social media accounts (Instagram, LinkedIn, YouTube, etc.)
• Create engaging content, including posts, captions, blogs, and marketing copies
• Plan and execute social media strategies to increase brand visibility and engagement
• Edit and produce short-form video content (reels, shorts, promotional videos)
• Collaborate with design and tech teams for campaigns and product promotions
• Work on UI/UX content alignment for marketing creatives and digital platforms
• Assist in PR activities, outreach, and brand communication
• Track performance metrics and optimize content based on insights

Requirements

• Background in B.Tech / BCA / Technical field preferred (Journalism / Mass Communication also acceptable)
• Strong content writing and storytelling skills.
• Basic knowledge of video editing tools (Adobe Premiere Pro, After Effects, CapCut, etc.)
• Understanding of UI/UX fundamentals.
• Hands-on experience or interest in managing social media platforms.
• Good communication and PR skills.
• Creative mindset with attention to detail.
• Ability to work in a fast-paced environment and meet deadlines.

Good to Have

• Knowledge of current social media trends and algorithms.
• Basic graphic design skills (Canva, Figma, etc.)
• Familiarity with AI tools for content creation.
• Previous internship or project experience in marketing/social media .

Perks & Benefits

• Hands-on experience in fast-growing technologies.
• Certificate of Internship.
• PPO (Pre-Placement Offer) based on performance.
• Exposure to real-world projects in the AI & tech domain.