Embedded Systems Designs Intern

Job Summary

We are looking for an experienced L2/L3 Support Analyst / Engineer to provide advanced technical support, troubleshoot complex application and cloud issues, perform root-cause analysis, and ensure platform stability across modern digital, data, AI, and Microsoft Azure environments. The role requires strong problem-management capabilities, ownership of critical incidents, effective escalation handling, and collaboration with development and infrastructure teams.

Key Responsibilities

• Provide L2/L3 technical support for business-critical applications and platforms.
• Perform advanced troubleshooting, incident diagnosis, root-cause analysis, and resolution of complex technical issues.
• Manage and resolve P1/P2 incidents, service disruptions, and recurring production issues within agreed SLAs.
• Perform problem management, identify recurring issues, and implement permanent corrective actions.
• Support and troubleshoot Sitecore XM Cloud / Experience Edge, Next.js, Vercel, React Native, and Dynamics 365 CE/Dataverse environments.
• Troubleshoot APIs, Azure API Management, Azure Integration Services, and related integration issues.
• Provide support for Microsoft Fabric, Power BI, Azure AI, and Azure-based data services.
• Monitor and troubleshoot applications hosted on Azure Kubernetes Service (AKS) and Azure App Service.
• Use Azure Monitor, Application Insights, Log Analytics, and Microsoft Sentinel for monitoring, diagnostics, alert analysis, and security-related troubleshooting..
• Prepare and maintain RCA, problem records, knowledge articles, troubleshooting guides, and operational documentation.
• Support knowledge transfer and mentor L1/L2 support teams on complex technical issues.
• Ensure application availability, reliability, performance, and overall platform stability.

Preferred Profile

• 6–8 years of experience in application production support / L2-L3 support / cloud application support.
• Hands-on experience supporting complex Azure-based digital applications and integrations.
• Experience working with enterprise ITIL processes, including Incident, Problem, Change, and Knowledge Management.
• Strong communication skills with the ability to interact with technical and business stakeholders.

QA Engineer – Manual Testing

Location: Nearshore (Ecuador/Colombia), Remote / Offshore (India), Remote

Experience: 6-8 Years

Algoworks

www.algoworks.com

About the company

Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.

For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.

At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.

Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.

Follow the video below to know about us! Clipchamp

Role overview

We are seeking a QA Engineer with strong manual testing experience to validate enterprise applications across functional, integration and regression scenarios.

You will work closely with product, engineering and business teams to ensure releases are stable, traceable and ready for production use.

Key responsibilities:

1.Test planning and execution

• Create and execute test cases based on requirements, user stories and acceptance criteria.
• Perform functional, regression, integration and end-to-end testing across application workflows.
• Validate UI, API and data-driven scenarios with clear evidence and defect documentation.

2.Defect management

• Log, triage, retest and track defects through closure.
• Work with developers and business stakeholders to clarify expected behavior and edge cases.
• Maintain test execution status, defect metrics and release readiness inputs.

3.Collaboration and quality

• Participate in sprint planning, daily reviews, demos and release checkpoints.
• Support UAT preparation and provide clear test summaries for stakeholders.

Required technical skills and competencies:

• 6+ years of QA experience with strong manual testing background.
• Strong understanding of STLC, test case design, defect lifecycle and regression planning.
• Experience testing web applications, APIs and data-driven workflows.
• Ability to understand requirements and convert them into testable scenarios.
• Good communication skills and attention to detail.

Must have skills:

• Strong manual testing and regression testing experience.
• Ability to write clear test cases and defect reports.
• Experience validating enterprise web applications.
• Comfortable working with distributed Agile teams.

Good to have skills:

• Exposure to API testing tools such as Postman or similar.
• Basic SQL knowledge for data validation.
• Experience with Agile delivery, Jira/Azure DevOps and test management tools.
• Exposure to accessibility, security or performance testing concepts.

Desired attributes:

• Strong ownership mindset and engineering discipline.
• High attention to detail with strong analytical and problem-solving skills.
• Effective communicator who collaborates well across distributed, cross-functional teams.
• Comfortable working in a fast-paced environment with evolving priorities.
• Passion for continuous improvement, clean code and delivery excellence.

Interview Process

2-3 rounds of discussion.

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.

RESPONSIBILITIES:

• Oversee the sales process to attract new clients.
• Work with senior team members to identify and manage risks.
• Maintain fruitful relationships with clients and address their needs effectively.
• Prepare and deliver pitches to potential investors.
• Foster a collaborative environment within the organization.
• Transfer call to the supervisor after initial explanation.

SKILLS:

• Excellent spoken English.
• Both Graduate/Undergraduate may apply.
• Ability to develop good relationships with current and potential clients.
• Excellent communication skills.
• Knowledge of productivity tools and software.
• Ready to work in Nightshift.

Salary: 12,000.00 - 27,500.00 per month

Role: Business Development Executive (BDE)

Industry Type: BPO / Call Centre

Department: Sales & Business Development

Employment Type: Full Time, Permanent

Role Category: BD / Pre Sales

Education

UG: Graduation Not Required

With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.

As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.

You Are A Part Of:

DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.

Job Responsibilities:

Responsibilities include, but are not limited to:

• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.

• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.

• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.

• May design and develop automated test suites.

• May maintain lab equipment.

Required Skills and/or Experience:

• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.

• 5-10 years related industry experience required.

• 5+ years software development in C or C++ is required.

• 3-5 years’ experience working in a Linux environment is required.

• Experience in writing scripts: Perl, shell, bash, and/or other scripting tools is required.

• Experience with debugging tools such as GDB is required.

• Experience with source control and shared build environments is required.

What you need to have:

• Writing scalable, robust,, testable, efficient, and easily maintainable code

• Translating software requirements into stable, working, high performance software

• Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architectur

• Strong knowledge of Go programming language, paradigms, constructs, and idioms

• Knowledge of common Goroutine and channel patterns

• Experience with the full site of Go frameworks and tools, including:

  • Dependency management tools such as Godep, Sltr, etc.
  • Go’s templating language
  • Go’s code generation tools, such as Stringer
  • Popular Go web frameworks, such as Revel
  • Router packages, such as Gorilla Mux

• Ability to write clean and effective Godoc comments

• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

Looking for a self-driven energetic, focused, result oriented DGM- sales for Noida location. The incumbent should have at least 8 years of experience in selling Digital solution to enterprises in digital agency and enterprises. Candidate should have a successful track record of achieving sales targets.

Must have exposure to interaction with senior-level executives and should have excellent communication & relationship management skills.

• Build up a strong understanding of the Sales process both from a product perspective as well as from a market perspective.

• Developing and maintaining a relationship with clients through ensuring effective account management. Ensuring customer retention through building long-term mutually beneficial relationships with clients.

• Actively seek and enable new revenue opportunities for business enhancement.

• Work with new and existing clients to drive business and revenue through product enhancement and product marketing.