11+ Transcription Jobs in India

• Infrastructure support and escalation management
• Effective management of infrastructure
• Proactive maintenance of Infrastructure at branches and HO
• Timely closure of tickets with in SLA

• Maintaining 100% uptime of Network.
• Proactive monitoring maintenance of network and Internet bandwidth

• Maintaining the working condition of the IT assets.
• Preparing the IT assets for the new joinees in a timely and effective manner.

• On-time execution of assigned projects;
• Proper utilization of the existing and newly added infra tools and assets. i.e EPM, Antivirus, etc.

• Ensure the regular Security measures are taken on the infrastructure.
• Ensure the process adherence as per IT Policies

• 3 + years of overall experience in IT Infrastructure domain.
• Degree in Computer Sciences / IT or equivalent

• Keen interest in experimenting with new Technology/gadgets/systems
• Should take the responsibility for Infrastructure needs and fulfill the same
• Should be a great team player and a good manager
• A great multitasker who should be able to work in a demanding environment
• Should be well connected with the vendor community
• Strong written and oral communication and interpersonal skills
• Must have a go-getter attitude.
• High social responsibility & Integrity
• Compliance twitho policies, rules, and regulations
• Belief in Teamwork & Effective leadership

• Good Knowledge on the end point infra support and server support
• Good Knowledge on IT security
• Linux, Windows OS knowledge
• Good knowledge on Networking and network security

• Escalation handling
• Vendor management
• Good Decision making skill

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.

Assist in content creation for Instagram, Facebook, and other platforms.

Help plan and execute social media campaigns.

Monitor and analyze engagement metrics.

Collaborate with the marketing team on content ideas.

Engage with our community by responding to comments and messages.

Assist with influencer outreach.

Requirements:

Passion for social media and skincare.

Basic knowledge of Instagram, Facebook, TikTok.

Strong communication and organizational skills.

Creativity and a keen eye for design.

Previous experience in social media management is a bonus.

Internship Duration: 3 months with potential for full-time hire.

• Reads through or listens to material in Japanese language mainly, ascertains understanding of the meaning and context of that material, and converts it into a second language, making sure to preserve the original meaning

• Translates online, video, and other media by providing subtitles

• Consults with subject matter experts and other colleagues in order to understand specialised concepts and translate them appropriately

• Prepare internal and external corporate documents for team members and industry partners

• Schedule meetings, appointments and manage other related works

• Maintain an organized filing system of paper and electronic documents

• Uphold a strict level of confidentiality

• Develop and sustain a level of professionalism among staff and clientele

• Translates a variety of documents including literary, legal, research, technical, scientific,

educational, and commercial materials

• Dynamics 365 NAV/Business Central technical development experience.
• AL, C/AL coding experience, basics of .NET development
• RDLC reports development.
• Knowledge of Power BI will be nice to have.
• Basic understanding of Web Services/SOAP/ODATA and other protocols. Able to perform simple integrations if needed.
• Working knowledge of Business Central web services and data integrations
• Minimum of 1-year experience configuring, developing, and delivering Microsoft Dynamics NAV or Business Central software

In Brief
Urgent Hiring • Re-location Required
Company Founded 2018 • 1-5 employees
Internet and Technology Startup • Bootstrapped

About us
Based out of Egypt and with presence in the GCC, Quesst Technologies is an early Internet and Tech Startup committed to helping thousands of nationals, residents and travelers in the MENA region, saving them time and effort in seeking reliable and credible knowledge within their communities and localities.

Quesst, the company's flagship platform, is a hyper-local Q&A and knowledge sharing platform that offers the necessary infrastructure for users seeking information to meet, share, engage and interact with one another and with verified subject matter experts.

Who we're looking for
Ideally the successful candidate will have experience in the start-up world and is in a position for a new challenge to take this company to the next level. Someone who is passionate about delivering a scalable and highly performant state-of-the-art cloud-based platforms built with technologies utilizing the JavaScript ecosystem, AI/ML and the latest web technologies to help solve exciting real world problems.

We are looking for an agile and entrepreneurial leader with strong people leadership and technical capability who has a problem-solving and analytical aptitude, excellent communication and presentation skills, is familiar with statistics, has a business acumen, independent, positive can-do attitude, and passion for excellence to the workplace.

Your role and our tech stack
Reporting to the founder, you will be expected to develop, deploy and oversee the execution of the tech strategy, product road-map and operations to ensure alignment with our businesses goals as we grow and scale. You will play a key part in the organisation's success, taking the current MVP and developing it further to move the company through to early stage funding and into profit.

Quesst's is built using React.js [Frontend], Node.js [Backend], PostgreSQL [DB], Amazon EC2 [Application Hosting], Amazon S3 [Media Storage Service], and Amazon SES [Email Sending Service]. You will be responsible for implementing full-stack features and collaborate with other team members to plan each sprint. You’ll be working across the entire system architecture and be responsible for designing, implementing and maintaining restful APIs, micro-services and databases.

Your key responsibilities

• Develop, improve and optimize the structure, quality, and extensibility of current software technologies, codebases and databases
• Prototype ideas to quickly access viability and iterate based on feedback from the team
• Build robust, web-based applications interacting with databases, file-systems and APIs
• Write custom code or integrate open source technologies as needed to find solutions to problems
• Design and build effective APIs; Create servers and databases for functionality
• Design client-side and server-side architecture; Design the data model ensuring scalability
• Accurately translate screen designs into functional front-end code; Develop features and with a mobile responsive design
• Write high-quality, extensible, testable and reusable code and libraries; Conduct code reviews and establishment of best practices
• Participate in planning activities; Estimate accurate stores for new features and design product features
• Help define processes and build tools as needed to scale the solution and the team
• Create and lead the product road-map; Proactively breakdown work, manage development sprints, identify risks and explore solutions
• Test software to ensure responsiveness and efficiency; Troubleshoot, debug and upgrade software; Aggressive problem diagnosis and creative problem solving
• Steer the business on timescales, prioritization and costs on competing development requirements
• Drive rigorous, and weekly product releases and lead required integration efforts with partners and/or third-party software services
• Guide the development in design, architecture and platform choices with strong focus on quality, speed, stability and scalability
• Identify and establish best practices and frameworks keeping in mind parameters of performance, responsiveness, security, maintainability, extensibility, and reuse; Work collaboratively in a lean and agile environment; Write technical documentation
• Recommend and implement new technologies, improvement of existing tech and set-up and future-proofing our technology that can help the company optimize efficiency and productivity and lead edge thinking and knowledge of innovative technologies i.e. AI, ML, blockchain, etc..

Your qualifications

• Minimum of BSc in Computer Science/IT/Electronics/Software Engineering or a comparable degree program
• Proven experience of 2-5 years of full-stack development of web applications; 2+ years building front-end interfaces with React.js & Redux workflows and 2+ years building back-end and maintaining server applications on Node.js, PostgreSQL and designing APIs
• Expert in traditional web-dev stack (HTML5, CSS3, JS); Strong in core JavaScript (ES5, ES6, ESNext, TypeORM and Typescript) and JS object model
• Experience with Linux environments and using the shell and command line terminals (preferred)
• Professional coding experience in object-oriented and scripting languages; Extensive experience building client-side web applications using React
• Proficient with:
  • JavaScript Frameworks (ReactJS/NextJS/Redux) and Node.js Frameworks (Express.js)
  • Client-side MVC frameworks such as NodeJS, React JS, NextJS, Redux, and AngularJS; Knowledge of isomorphic React
  • Configuration of various servers to run web application servers, databases, etc.; Web server technologies like Nginx, NodeJS, Apache, etc.
  • Frontend CSS frameworks like Bootstrap, Material UI and preprocessors like SASS and SCSS/LESS
  • Writing and integrating middleware; Experience with Redux Saga and Thunk
  • Architecture, design, queries of Relational databases (PostgreSQL, MySQL and other RDBMS)
  • Modern JS tooling (NPM, Webpack, Babel, ESLint and Prettier)
  • Developer tools, such as Visual Studio Code
  • Code versioning tools and Git version control systems (Github); Containerization systems (Docker)
  • Strong in data structures, XML technologies, JSON parsing
  • Caching frameworks and mechanisms, work-task queues, transactions and messaging queues (Redis, Memcached, RabbitMQ and others)
  • Building real-time applications using Web Sockets (Socket.io)
  • Web and mobile push notifications and cloud message APIs (GCM, APNS, OneSignal, etc.)
  • Setting up cron jobs and schedule task execution
  • Handling Services, RESTful, APIs, third party libraries and APIs (Google APIs, AWS, Zendesk, etc.)

• Experience with API gateway, distributed infrastructure architectures and applications tuning/profiling; Experience working with microservices
• User authentication and authorization between multiple systems, servers, and environments; Understanding of “session management” in a distributed server environment
• Experience with REST API and web service construction, integration and architecture and working with remote data via REST and JSON
• Knowledge of modern authorization mechanisms, such as JSON Web Token, Authentication and Security Technologies
• Familiarity with building secure systems (OWASP secure coding practices or similar)
• Architect and cloud-deploy applications on AWS and other cloud providers
• Deep understanding of Test-Driven Development (TDD)
• Build and manage end-to-end and UI tests; Experience writing tests (unit, integration, functional, etc.), and using testing frameworks
• Build third-party integrations like Slack, Stripe, Google and supporting their workflow
• Provision DevOps tooling with continuous integration; Build modern Front-end build pipelines and tools
• Contribute to API documentation including API description languages like Swagger; Document and diagram functional flows and architectures
• Experience in building rich PWA applications; Experience in responsive design, cross browser compatibility and website performance
• Understanding of how browsers and DOM work; Understanding and experience with asynchronous processing, partial page refresh, DOM traversal and manipulation
• Expert level using Web Analytics tools (Google Analytics and others); Experience with open source software development
• Experience with localization and internationalization of applications (working with multi-site setups, multi-language, i18n, etc.)

Some desired extras and good to have skills

• Knowledge of cyber-security, malware analysis, threat detection and/or sandboxing technology
• Preferably has knowledge of working in big data (Spark, Kafka, Hadoop) and machine learning ecosystems
• Strong background in security and data analytics and on-premise data experience
• Experience and familiarity with:
  • Architecture, design, queries and aggregation of NoSQL databases (MongoDB, Cassandra and others)
  • Elasticsearch and ELK stack
  • Developing integrations for global OTAs
  • OpenAPI
• Knowledge of multiple backend languages and framework

We offer you

• A unique entrepreneurial opportunity to build something from the ground up and scale it up to a major regionally recognizable brand
• A great learning curve in a collaborative environment with no barriers for initiatives
• Leading compensation package including salary free of local taxes, accommodation allowance for local hire or shared accommodation for international hire, free medical care from company physician, free government healthcare membership, transport allowance, paid airfare to the country of origin, paid leave and end of service according to local labor law.

Your professional career growth opportunities
As you help us grow Quesst, we will help you grow and professionally develop. Joining us at this stage, you will have the opportunity to be part of the core team if you prove you have what it takes and will be given the opportunity to:

• Lead and develop a technical strategy for the company, which involves goal setting, discussing options, and analyzing risks with the management team, CEO and board members
• An opportunity to build and manage a business unit from scratch and scale it up to success at a regional level
• Attract and retain top tech talent, mentor and manage the team as it grows
• Develop and manage KPIs for the tech team and create a challenging work environment

Have we caught your attention?
Send us your application including your resume, salary expectations and earliest starting date.

We’re looking forward to your application!