Admissions Counsellor

Job description:

WordPress Developer - Front End (Projects Team)

About Us: We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes-Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej, amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: WordPress Developer

Experience Level: 2 - 3 Years

Location: Bangalore, Karnataka (On-site)

Job Overview: We are in search of a seasoned and proficient WordPress Developer to join our innovative team. As a WordPress Developer, you will play a pivotal role in shaping the digital presence of our projects. Your primary responsibilities will revolve around leading the development process, creating functional and visually appealing websites, and ensuring seamless integration with our brand's identity across various online platforms.

Required Skill Set:

● Experience in translating Figma designs into semantically correct WordPress websites, ensuring webpages are pixel-perfect as per the design.

● Knowledge of responsive and adaptive design principles to translate designs into fluid and responsive websites.

● Thorough understanding of UI layouts, SASS, Bootstrap, and the CSS GRID system.

● Experience in developing cross-platform/browser-compatible (IE/Edge, Firefox, Safari, Opera, etc.) websites

● Strong working knowledge of creating interactions and animations for the web using AnimeJS or GSAP.

● Experience in custom CSS animations and SVG animations.

● Strong proficiency in JavaScript, especially DOM manipulation.

● Strong working knowledge of Elementor and Revolution Slider WordPress Plugins.

● Familiarity with how to integrate Lottie animations.

● Ability to implement SEO best practices.

Roles & Responsibilities:

● Convert the UI/UX design or wireframes into highly interactive WordPress themes using HTML, CSS, JavaScript, and PHP.

● Collaborate with UI/UX designers for effective teamwork.

● Write actual code, ensuring the website matches the Figma design and is optimized for smartphones and tablets.

● Perform QC (Quality Check) on different browsers and devices.

● Make web pages SEO-friendly.

● Integrate jQuery and other libraries into the project.

● Have the confidence to work on existing projects and integrate new sections and pages.

● Collaborate with other developers and web designers in the team to meet the project's requirements.

Job Type: Full-time

Work Location: In person

We are seeking a high-caliber Firmware Lead to join our Engineering team at Gradera. In this role, you will be the technical anchor for the firmware squad, responsible for translating high-level architectural visions into robust, executable low-level designs (LLD). You will lead the design and development of firmware solutions on NXP-based hardware platforms, ensuring seamless real-time data acquisition and integration with cloud-based Machine Learning (ML) platforms. We are looking for a seasoned expert who can work independently without any supervision, taking full ownership of the firmware lifecycle from hardware abstraction to cloud-edge synchronization.

Our Core Tech Stack

Embedded & OS

• NXP SoCs/MCUs: i.MX, LPC, and Kinetis series.
• Yocto Project: Custom layers, recipes, BitBake, and kernel configuration for Linux.
• RTOS Platforms: Deterministic performance, task scheduling, and interrupt handling.

Development & Integration

• Languages: Mandatory proficiency in C/C++ and C# (.NET on embedded targets/IoT).
• Communication: MQTT, WebSockets, CAN, UART, SPI, and I2C.
• Cloud & ML: Azure IoT Hub, AWS IoT Core, and data streaming via Kafka or Kinesis.

Infrastructure & Security

• Security: Secure boot, encryption, and device authentication.
• DevOps: Containerization (Docker) and CI/CD for firmware.

Key Responsibilities

• Architectural Ownership: Convert high-level blueprints into detailed technical designs for NXP-based systems, ensuring optimal performance across hardware and software layers.
• Autonomous Execution: Lead the end-to-end development of firmware modules, making critical technical decisions and resolving complex blockers without supervision.
• ML Pipeline Leadership: Collaborate with Data Engineering and ML teams to architect streaming and batch ingestion pipelines, ensuring data is correctly structured for ML training.
• Cloud-Edge Synchronization: Design secure and reliable transmission protocols for device-to-cloud communication, focusing on edge-to-cloud integration.
• Standards Enforcement: Act as the guardian of engineering excellence, implementing security best practices (secure boot, TLS) and ensuring high code quality.
• Technical Mentoring: Act as a technical beacon for the squad, conducting rigorous code reviews and mentoring senior engineers in Yocto Linux and RTOS concepts.
• Strategic Troubleshooting: Lead the debugging of critical firmware issues across hardware and software layers, including OTA update implementations.

Preferred Qualifications

• 8 to 10 years of professional experience in embedded firmware development.
• Proven ability to work independently and lead technical squads in a fast-paced environment.
• Expert-level mastery of the Yocto Project and RTOS constraints.
• Deep proficiency in C/C++ and C# for embedded systems.
• Demonstrated track record of delivering low-level designs for edge-to-cloud ML systems.

Highly Desirable

• Industry Experience: Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is highly regarded.
• Experience with Edge AI / TinyML and industrial protocols (Modbus, OPC-UA).
• Knowledge of Cybersecurity standards for secure device provisioning.

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Job Summary

We are seeking an experienced BI Developer with strong expertise in Power BI/Tableau and Azure to support large-scale business intelligence initiatives, including report development, dashboarding, and platform transformation.

The ideal candidate will have a strong focus on data visualization, storytelling, and analytics delivery, along with experience in BI platform management and migration. You will play a key role in designing intuitive, high-impact dashboards and ensuring business users have actionable insights readily available.

Key Responsibilities

BI Development, Visualization and Dashboarding

• Design and implement reports, interactive dashboards, and data models using BI tools to enable data-driven decision-making
• Work with Data Product Owners and stakeholders to understand analytical goals and translate them into impactful dashboards
• Develop intuitive, visually compelling dashboards with a strong focus on usability and storytelling
• Identify and rapidly resolve issues related to data visualization, performance, and user experience
• Ensure consistency, standardization, and reusability across dashboards and reporting layers

BI Migration and Transformation

• Lead or support migration of reports and dashboards across BI platforms (e.g., Tableau to Power BI)
• Translate existing reports into optimized, scalable Power BI solutions
• Improve reporting frameworks during migration for better performance and usability

Data Modeling and Integration

• Develop robust data models using Power BI (DAX, Power Query) or equivalent tools
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• Work closely with data engineers, analysts, and scientists to build reliable datasets for reporting
• Validate and optimize data pipelines feeding BI systems
• Ensure data accuracy, consistency, and governance across reporting solutions

Collaboration and Cross-Functional Delivery

• Collaborate closely with data engineers, data analysts, and data scientists to deliver end-to-end analytics solutions
• Work with business stakeholders to refine requirements and improve reporting outcomes
• Contribute to building scalable and reusable reporting frameworks

BI Platform Administration and Management

• Administer BI platforms such as Power BI, Tableau, or SAP BO
• Manage workspaces, access control, tenant settings, and user permissions
• Handle capacity planning, cost optimization, and resource utilization
• Perform regular housekeeping and monitor usage to optimize platform efficiency

Platform Maintenance and Reliability

• Ensure platform performance, scalability, security, compliance, and uptime
• Plan and execute platform maintenance, including patching and release management
• Support platform “evergreening” and manage audit logs for troubleshooting

Infrastructure, Deployment and Monitoring

• Support installation, configuration, and setup of BI tools and environments
• Design and implement deployment architecture for BI solutions
• Build automated health checks, monitoring, and alerting mechanisms
• Integrate monitoring with enterprise systems (e.g., NOC) and ensure support readiness

Governance and Quality

• Ensure data and reporting governance across dashboards and BI platforms
• Implement best practices for report design, performance optimization, and security
• Contribute to audit, compliance, and data quality initiatives

Standardization and Optimization

• Drive standardization and consolidation of BI tools and reporting frameworks
• Monitor usage patterns, identify inefficiencies, and optimize cost and performance
• Build reusable visualization frameworks and design standards

Required Qualifications

• 4+ years of experience in BI development and platform management
• Strong expertise in Power BI / Tableau / SAP BO
• Experience with Azure and GCP environments
• Strong experience in dashboard development, data visualization, and storytelling
• Hands-on experience in data modeling (DAX, Power Query, or equivalent)
• Experience working with enterprise data warehouses and large datasets
• Strong SQL skills for data extraction and validation
• Understanding of BI governance, performance optimization, and security
• Ability to work with cross-functional teams and translate business needs into analytics solutions

Preferred Qualifications

• Experience with Power BI tenant administration and capacity management
• Familiarity with CI/CD pipelines for BI deployments
• Exposure to enterprise monitoring and support environments
• Experience in BI migration or transformation projects
• Understanding of modern data architectures (data lake, lakehouse, cloud analytics platforms)

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Requirements:

• Should have sound knowledge of PHP, MySQL, JQuery & javascript.
• Should know MVC framework Yii/Yii2
• Knowledge of mobile app APIs, JSON, etc.
• Knowledge of version control systems like GIT is a plus.
• Strong analytical and problem-solving skills.
• Troubleshoot and fix any issues relating to PHP programs.

Highlights:

• Working 5 days a week.
• Group Health Insurance for our employees.
• Work with a team of 200+ excellent engineers.
• Extra Compensation for Night Shifts.
• Additional Salary for an extra day spent in the office.
• Lunch buffets for all our employees.
• Yearly and quarterly awards with CASH amount, Dinner coupons, etc
• Team Dinners on Project Completion.
• Festival celebration, month end celebration and much more.

We are looking for a highly skilled Backend Developer with expertise in Core Java, Java 8, and Data Structures. The ideal candidate should have experience in Spring Boot, JPA/Hibernate, and Microservices architecture. If you are passionate about backend development and want to work in a dynamic environment, we’d love to hear from you!

Key Responsibilities:

• Develop and maintain backend applications using Core Java and Java 8.
• Design and implement RESTful and SOAP web services.
• Work with Spring Framework, Spring Boot, and JPA/Hibernate for backend development.
• Build and optimize microservices-based architectures.
• Manage databases such as PostgreSQL, MySQL, or Oracle.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Write clean, efficient, and scalable code while following best practices.
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Requirements:

✅ Strong hands-on experience in Java (Core Java, Java 8) and Data Structures.

✅ Proficiency in Spring, Spring Boot, JPA/Hibernate.

✅ Experience in developing and consuming RESTful & SOAP APIs.

✅ Knowledge of Microservices architecture and best practices.

✅ Database expertise in PostgreSQL, MySQL, or Oracle.

✅ Excellent verbal and written communication skills.

Nice to Have:

• Experience with Docker/Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to cloud platforms (AWS, GCP, or Azure).

Responsibilities:

• Execute full lifecycle software development
• Develop, designed well efficient code
• Integrate software components into a fully functional software system
• Fully adaptive to the technology needed for the current project

Requirements:

• Bachelor/ Master degree from good college.
• Strong knowledge of algorithms, data structure
• Understanding object-oriented programming
• Excellent knowledge of PHP, Mysql, SQL. NoSQL, Mongodb
• Ability & Readiness to work with any technology
• Familiarity with software development methodology and release processes.
• Strong problem-solving skills and excellent communication skills.
• He/she should have minimum 3 years working experience on PHP, PHP Frameworks, Ajax, Knowledge on CMS platform like Opencart, payment gateway integration, experience working on portals.