International Voice Process

Byteridge is seeking a Business Intelligence Solutions engineer to drive

transformative analytics and AI-powered insights for our strategic customers across India. You will lead

complex deployments of Amazon QuickSuite and related AWS analytics services, working directly with

customers to accelerate their data-driven transformation.

This role combines deep technical expertise in business intelligence, data integration, and AI automation to deliver production-ready solutions that unlock the full potential of customer data across multi-cloud environments.

What You'll Do

Solution Architecture & Deployment

• Lead end-to-end deployments of Amazon QuickSuite, QuickSight, and AWS analytics solutions forstrategic customers

• Design and implement comprehensive BI architectures that integrate with diverse data sourcesacross multi-cloud environments

• Develop custom connectors, APIs, and MCP (Model Context Protocol) integrations to extendplatform capabilities

• Configure and optimize Agents, Spaces, Topics, and Dashboards for customer-specific use cases

Technical Development & Integration

• Build custom connectors and integrations to connect QuickSuite with enterprise data sources

• Develop API-based solutions and automation workflows to streamline BI operations

• Implement data pipelines connecting multi-cloud data sources (AWS, Azure, GCP) to analyticsplatforms

• Create reusable templates, accelerators, and best practices for rapid deployment

Customer Engagement & Enablement

• Partner with customer teams to understand business requirements and translate them into

technical solutions

• Provide technical guidance on dashboard design, data modeling, and visualization best practices

• Train customer teams on QuickSuite capabilities, agent configuration, and self-service analytics

• Identify expansion opportunities and drive adoption of advanced analytics features

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical

experience

• 4-6 years of experience in business intelligence, data analytics, or technical consulting roles

• Strong programming skills in Python, JavaScript, SQL, or similar languages

• Experience with BI platforms, data visualization, and analytics solution deployment

Technical Expertise (High-Level Alignment)

• Proficiency with business intelligence and data visualization tools (QuickSight, Tableau, Power BI, or

similar)

• Experience with API development, REST services, and integration patterns

• Understanding of data modeling, ETL/ELT processes, and data warehouse concepts

• Familiarity with AWS analytics services (QuickSight, Athena, Glue, Redshift) or equivalent platforms

Preferred Experience

• Hands-on experience with Amazon QuickSuite or similar AI-powered analytics platforms

• Knowledge of MCP (Model Context Protocol) and custom connector development

• Experience configuring AI agents, knowledge bases, and automated workflows

• Background working with multi-cloud data sources and hybrid architectures

• Understanding of data governance, security, and compliance requirements

Essential Attributes

• Excellent problem-solving skills with ability to navigate ambiguous requirements

• Strong communication skills to engage with technical and business stakeholders

• Ability to manage multiple customer engagements and prioritize effectively

• Customer-focused mindset with commitment to delivering measurable business outcomes

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.

🚀 We're Hiring: AUTOSAR Ethernet Experts at InfoGrowth! 🚀

Join InfoGrowth as an AUTOSAR Ethernet Expert and contribute to pioneering advancements in automotive technology!

Job Role: AUTOSAR Ethernet Expert

Mandatory Skills:

• Embedded C programming
• AUTOSAR knowledge
• Ethernet expertise

Key Requirements:

• Hands-on experience with Ethernet stack integration/development
• Experience with Ethernet switch topics
• Proficiency in Embedded C programming
• Experience with Marvell Ethernet Switch (88Q5050/88Q5XXX)
• Familiarity with software development tools such as CAN Analyzer, CANoe, and Debugger
• Strong problem-solving skills with the ability to address technical issues independently
• Experience with Groovy or any scripting language is a plus
• Knowledge of the ASPICE process is an added advantage
• Excellent analytical and communication skills

Job Responsibilities:

• Engage in tasks related to the integration and development of Flash Bootloader (FBL) features, alongside testing activities.
• Collaborate continuously with counterparts in Germany to understand requirements and effectively interpret and develop FBL features.
• Responsible for creating test specifications and accurately documenting results.

Why Join InfoGrowth?

• Be a part of an innovative team dedicated to transforming the automotive industry with cutting-edge software solutions.
• Work on exciting projects that challenge your skills and foster professional growth.
• Enjoy a collaborative and dynamic work environment that values creativity and teamwork.

🔗 Apply Now to help drive the future of automotive technology with InfoGrowth!

Your Day-to-Day Role:

• Design and implement web applications from initial concept, architecture design, to completed, operational software.
• Lead complex engineering tasks where you’ll act as the technical authority.
• Contribute to code reviews and continuous integration.
• Adapt and apply cutting edge technologies.
• Collaborate with other engineers, designers, and product owners to define elegant customer solutions.
• Ensure robustness by writing automation tests for your code.

What Are We Looking For:

At least 3 years of professional experience in Fullstack development.

Mandatory Technical Skills

• Robust experience in MERN Stack (MongoDB, ExpressJS, ReactJS, NodeJS). Expertise in ReactJS, Redux, HTML, CSS.
• Proficiency in Javascript (ES6) and TypeScript.
• Hands-on experience in Socket Implementation.
• Solid understanding of GIT and its workflows.

Good to Have Skills (Optional)

• Familiarity with Material UI.
• Experience with HTML Canvas APIs (Ex: KonvaJS for canvas drawing).
• Basic understanding of AWS services (S3, Redis, Lambda, Messaging services, etc.). 

We are looking for a motivated full-stack engineer who is proficient in both front-end and back-end technologies. Responsibilities include designing, building, and maintaining web applications, databases, and APIs that enable businesses to operate efficiently.

Responsibilities

• Develop, test, and deploy fast and scalable web apps.
• Designing and maintenance of fully functional large relational and non-relational databases.
• Timely deployment of web apps on the cloud.
• Server management and cloud-based infrastructure.
• Establishment and integration of development tools as required.
• Conducting code reviews of peer developers.

Requirements

• 2 years in MEAN Stack Development.
• Expertise in technologies - MongoDB, ExpressJS, and NodeJS.
• High-quality programming skills for a robust design.
• Experience in application architecture, server management, cross-browser compatibility, responsive design, and website performance.
• Understanding of DB architecture design and programming templates, Agile methodologies, and client-side and server-side procedures.
• BE/ B. Tech/ MCA.

Job Description – Magento Developer

We are looking for a Magento Developer responsible for Magento 2 related projects, and as we are a Magento extension development company, you must have knowledge of Magento 2 extensions development. You should have developed public or private extensions will be a plus.

Responsibilities:

• Develop Magento Extensions, debug and update.
• Work on Customization, Upgrade, Performance optimization, and other Magento services.
• Work on Magento Projects.
• We can give you the Extension support responsibilities too.
• Train new PHP developers for Magento developments from scratch.

Requirements:

• Strong knowledge of PHP and Magento 2.
• Magento 2 Extension development experience.
• Understanding the fully synchronous behaviour of PHP.
• Understanding of MVC design patterns.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3.
• Knowledge of object-oriented PHP programming.
• Understanding accessibility and security compliance.
• Strong knowledge of the common PHP or web server exploits and their solutions.
• Understanding fundamental design principles behind a scalable application.
• User authentication and authorization between multiple systems, servers, and environments.
• Integration of multiple data sources and databases into one system.
• Inventory API, payment, shipping API, web API, ERP Integration knowledge is a plus.

• Bring in a "can-do" attitude
• Passion towards technology and software engineering - open source, pet projects, conference talks, getting better at writing clean code.
• Participate in a highly fluid environment applying agile software development principles.
• Carry out unit tests and other quality control mechanisms to inform and validate the designs and code
• Work with product owner/BAs to bring an end to end perspective of the problem.
• Ability to ask the right questions and communicate your ideas with clarity.
• Ability to collaborate with various stakeholders and take complete ownership.
• Participate actively in building one of the most impactful organizations in retail technology.

• Quickly adapt to our startup environment which is both demanding and fast-paced (but is also a lot of fun).
• Eager in learning new concepts, technologies and be productive in short time.
• Convert a raw idea into usable real-life software products Write modular, readable and maintainable code.
• Good understanding and working knowledge of technologies worked.
• Demonstrate good problem solving skills
• Own and be able to manage a small to medium sized modules.
• Demonstrate ability to guide and coach a new team member or fresher.

Detailed Job Description :

Exp – 4- 8 Years

Primary Skill - (3 yrs min in React is required), Typescript/Javascript, HTML/CSS, should be ok