MBA Fresher

Example Responsibilities:

• Build and optimize model serving infrastructure with a focus on inference latency and cost optimization
• Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options
• Develop monitoring and observability solutions for ML systems
• Collaborate with ML Engineers to establish best practices for optimized model deployment
• Implement cost-efficient, enterprise-scale solutions
• Collaborate in a cross-functional, distributed team for continuous system improvement
• Work with MLEs, QA Engineers, and DevOps Engineers
• Evaluate and implement new technologies and tools
• Contribute to architectural decisions for distributed ML systems

Experience and Qualifications:

• 5+ years of experience in software engineering with Python
• Experience with ML frameworks, particularly PyTorch
• Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX, TensorRT)
• Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia,Trainium)
• Proven experience building and operating AWS serverless architectures
• Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching solutions
• Experience with containerization using Docker and orchestration tools
• Strong knowledge of RESTful API design and implementation
• Proficiency in writing good quality & secure code and be familiar with static code analysis tools
• Excellent analytical, conceptual and communication skills in spoken and written English
• Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis

Great to have Experience and Qualifications:

• Experience with any of the following: model compilation and quantization, performance profiling and benchmarking ML inference systems
• Experience working in regulated industries with strict compliance requirements for cloud-native solutions

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.

About the Role

The Operation Executive is responsible for planning, coordinating, and executing

various events, BTL activities, vendor visits, branding material procurement etc.

ensuring quality execution. This role requires a smart and organized individual who

can manage multiple tasks simultaneously, work under pressure, and deliver

exceptional execution as per SOP.

Key Responsibilities

Event Planning and Coordination

 Collaborate with BD and CS team to understand their event goals, themes,

and requirements.

 Develop detailed plans, timelines, checklists and production schedules.

 Coordinate with vendors, suppliers, and contractors to secure necessary

services and materials.

 Conduct site visits and assessments to ensure venue suitability and ensure

alignment with client expectations.

Logistics Management

 Oversee the setup, execution, and teardown of events and activities, ensuring

all elements are in place and functioning correctly as per SOP.

 Manage logistics, including transportation, accommodation, and catering

arrangements etc.

 Ensure compliance with health, safety, and regulatory standards during all

activities.

Technical Coordination

 Work closely with technical teams to ensure proper setup and operation of

audio-visual equipment, lighting, staging, and other technical aspects.

 Troubleshoot technical issues during events/activities and implement quick

solutions to minimize disruptions.

Budget Management

 Track and manage event/activity and procurement budgets, ensuring all

expenses are tracked and kept within allocated limits.

 Negotiate with vendors and suppliers to secure competitive rates and

optimize costs.

Team Collaboration

 Lead and coordinate event/activity staff, including volunteers, to ensure

smooth execution of event tasks.

 Foster a positive and collaborative team environment.

Client and Stakeholder Relations

 Serve as the on-ground point of contact for clients, providing regular updates

and addressing concerns.

 Maintain strong relationships to ensure client satisfaction and seamless

delivery of requirements.

 Professionally handle client feedback and implement improvements as

needed.

Post-Event Evaluation

 Conduct post-event evaluations to assess event success and identify areas

for improvement.

 Prepare detailed event reports for clients and internal stakeholders.

What We’re Looking For

 1-3 years of experience in event operations, logistics management, or BTL

activity execution.

 Strong organizational and multitasking skills to manage multiple projects

simultaneously.

 Ability to work in a fast-paced, high-pressure, real-time environment.

 Excellent communication and vendor management skills.

 Proficiency in Microsoft Office Suite (Excel, Word, and PowerPoint).

 Problem-solving mindset with the ability to resolve issues efficiently on the

ground.

 Self-motivated, detail-oriented, and capable of working independently with

minimal supervision.

 Must possess a two-wheeler and have a valid driver’s license for local travel.

Gather, analyze, and document business requirements from stakeholders, ensuring clarity and completeness.

Translate business needs into detailed technical requirements for the development team.

Collaborate with cross-functional teams, including product managers, developers, and designers, to ensure successful project execution.

Monitor and evaluate project progress, ensuring alignment with business objectives and timelines.

Conduct in-depth data analysis to identify trends, derive actionable insights, and provide strategic recommendations.

Prepare comprehensive reports, presentations, and documentation for management and stakeholders.

Identify potential risks and propose mitigation strategies to ensure project success.

• Develop optimization strategies that increase the companys search engine results rankings.
• Research SEO keywords to use throughout the companys website and marketing materials.
• Set measurable goals that demonstrate improvement in marketing efforts.
• Monitor daily performance metrics to understand SEO strategy performance.
• Efficiently communicate with other marketing professionals to align goals.
• Collaborate with others within the marketing department to manage SEO strategy.
• Write compelling and high-quality website content, including blog posts and page descriptions.
• Update content and website links for maximum optimization and search engine rankings.

Node JS Developer – Exp: 2-6 Years

Responsibilities:

• Developing and maintaining high performance and scalable web applications and API’s.
• Managing front-end and third party APIs integration.
• Writing unit, integration and E2E test cases.
• Implementation of security and data protection.
• Managing deployment and handling client interaction and demos
  
  

Skills And Qualifications:

• Highly proficient in JavaScript and Typescript, PassportJs, Sequelize.
• Working knowledge of Node.js frameworks such as ExpressJs, SailsJs, VueJs and  ElectronJs.
• Good understanding of server-side templating languages such as Jade, EJS, Mustache etc.
• Good understanding of server-side CSS preprocessors such as Stylus, Less,Sass etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Sound knowledge of Testing frameworks such as Mocha, Chai, Jasmine, Cucumber etc.
• Experience of writing unit, integration and E2E tests.
• Experience of working with SQL and No-SQL databases.
• Experience of integrating third party APIs.
• Good understanding of code versioning tools, such as Git.
• Good Communication Skills.
  
  

Introduction to Jellyfish Technologies

Founded in 2011, Jellyfish Technologies is a global software development company leading the revolution in Fintech, Insurtech, healthtech, IoT, BPA, and DCX, among others.

We apply advanced AI & ML technologies and robotics to offer new-age and highly efficient solutions to international clients. We have recently launched an automated productivity product in the North American market.

We are a service/product based software development company that transforms ideas into applications. Our cross functional team of motivated, skilled and experienced software engineers and designers, help the clients unlock the business values of their enterprises in a time-bound and cost-effective manner. 

Website: https://www.jellyfishtechnologies.com/">https://www.jellyfishtechnologies.com

LinkedIn: https://www.linkedin.com/company/teamjft/">https://www.linkedin.com/company/teamjft/ 

Interview Kickstart is one of the leading platforms helping Software Engineers prepare for tough technical interviews. Over the last 5 years we have helped over 3000 engineers Nail the toughest technical interviews on the planet. We are successful, profitable, and have a vision of building the world's largest Career Upleveling platform. 

We are looking for top-notch, motivated engineers to come join our growing team at IK.

Who you are

• You have 2 - 7 years experience.
• You love the buzz of a highly productive and fast moving team.
• Strong product and design sensibilities and an obsessive attention to detail.
• You have a get-things-done attitude and deep empathy for users and fellow teammates.
• You can write testable, maintainable code that’s easy to understand.
• You love coding and look forward to taking on complex, abstract features.
• You don't care about front end, backend kinda titles. You like working anywhere in the "stack".
• You are looking to grow fast with a company that's on a rapid growth path.

What will excite us

• Previous startup experience or experience being part of early teams.
• Experience with the Django & Python universe.
• Experience with both Relational and NoSQL DBs.
• Competitive Programming experience.
• A keen desire to problem solve, brainstorm and debate during the interview.

What will excite you

• Complete ownership
• Experiment, fail and learn.
• High pedigree, high caliber team.
• Contribute to every area of our business. Have a real impact with your work.
• Top of the line compensation.

Requirements

• 3+ years of experience developing modular front-end components using HTML, CSS, JavaScript/Jquery, JSON and micro formats.
• 2+ years of experience in React.
• Played with Webpack and Modular architecture.
• Solid understanding of user-centered design principles.
• Experience in cross-browser compatibility.

Our interview process is designed to help you show the best version of yourself. Once your candidature is finalized, we'll send you a short video explaining the interview process.

Look forward to speaking with you soon!