
We're Hiring | AI/ML Engineer (Training & Development) – Female Candidate Preferred
We are looking for a passionate and skilled Female AI/ML Engineer who can conduct engaging training sessions while also contributing to AI/ML development projects. The ideal candidate should have strong technical expertise along with excellent communication and presentation skills.
Experience: 2–3 Years
Key Skills: Python, Machine Learning, Deep Learning, Generative AI, LLMs, NLP, Computer Vision, LangChain, RAG, Prompt Engineering, TensorFlow, PyTorch, Scikit-learn
Training Expertise: Ability to deliver training sessions on AI/ML, Data Science, Python, Generative AI, and emerging technologies using various AI tools and platforms.
Preferred: Candidates with experience in both training and development activities.
📍 Location: Jaipur (On-site)
💻 Laptop Provided by Company
📅 Working Days: Monday to Saturday
💰 Salary: ₹25,000 – ₹30,000 per month

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AI & ML (45 Days – Live Hands‑On)
Program Fee: ₹25,000
Duration: 45 Days
Mode: Hybrid (Online Sessions + Live Lab Access)
Eligibility: Freshers, Final‑Year Students, and Career Switchers
About the Internship
This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.
Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:
- Cloud/Infra Engineer
- DevOps Engineer
- Security Analyst
- AI/ML Engineer
- Site Reliability Engineer (SRE)
Key Highlights
- 45 days of practical, mentor-led training
- Live production-style projects and deployments
- Hands‑on experience with:
- AWS / Azure Cloud
- Terraform, CI/CD, Docker, Kubernetes
- Security Hardening & IAM
- Python ML pipelines & model deployment
- Architect & deploy real systems using best practices
- Build portfolio-ready projects
- Receive an industry-recognized Internship Certificate
What You Will Learn
1️⃣ Cloud Infrastructure & DevOps
- Cloud fundamentals (AWS/Azure/GCP)
- Linux administration & scripting
- VPC, Subnets, Routing, NAT, Firewalls
- EC2 provisioning & autoscaling
- Load balancing & High Availability
- Terraform for Infrastructure as Code
- CI/CD pipelines using Jenkins / GitHub Actions
- Docker containerization & Kubernetes basics
2️⃣ Cybersecurity & Cloud Security
- IAM roles, policies, access control
- Server security & hardening
- SSL/TLS, encryption, key management
- Secure VPC & subnet design
- Threat detection & logging
- Secrets management
- Network segmentation & firewall best practices
3️⃣ AI & Machine Learning
- Python for ML
- Supervised and unsupervised algorithms
- Data preprocessing & model training
- Model evaluation & optimization
- Build ML inference APIs using FastAPI/Flask
- Containerize and deploy ML models to cloud
- Integrate monitoring for ML workflows
✅ Live Hands‑On Projects
Interns will work on real-world, production-grade projects such as:
- Deploy a secure 3‑tier web application on cloud
- Automate infra provisioning using Terraform
- Build CI/CD pipelines for automated deployments
- Harden servers & configure security groups, IAM
- Develop and deploy an ML model as a cloud API
- Create monitoring dashboards with Prometheus/Grafana
- End-to-end system deployment with logging and alerting
Each intern will complete a Capstone Project and present it during the final evaluation.
✅ Internship Deliverables
- Internship Completion Certificate
- 3+ Production‑level projects
- GitHub portfolio with all code and deployments
- Cloud & ML documentation
- Resume enhancement and guidance
- Career mentoring + interview preparation
✅ Who Should Apply
This internship is ideal for:
- Fresh graduates
- Final‑year engineering or IT students
- BSc, BCA, MCA, B.Tech learners
- Professionals switching careers to Cloud/DevOps/AI
- Anyone seeking hands‑on, real‑time industry experience
✅ Program Fee
₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)
✅ Certificate Provided
All participants will receive a verified Internship Certificate, including:
- Candidate Name
- Internship Duration & Dates
- Skills Covered
- Project Evaluation Score
- Authorized Signatory & Company Seal
We are a managed video calling solution built on top of WebRTC, which allows it's
customers to integrate live video-calls within existing solutions in less than 10 lines of
code. We provide a completely managed SDK that solves the problem of battling
endless cases of video calling APIs.
Location - Bangalore (Remote)
Experience - 3+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Skills Required:
- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills
Intuitive is now hiring for DevOps Consultant for full-time employment
DevOps Consultant
Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)
Key Skills / Requirements:
- Mandatory
- Integrating Jenkins pipelines with Terraform and Kubernetes
- Writing Jenkins JobDSL and Jenkinsfiles using Groovy
- Automation and integration with AWS using Python and AWS CLI
- Writing ad-hoc automation scripts using Bash and Python
- Configuring container-based application deployment to Kubernetes
- Git and branching strategies
- Integration of tests in pipelines
- Build and release management
- Deployment strategies (eg. canary, blue/green)
- TLS/SSL certificate management
- Beneficial
- Service Mesh
- Deployment of Java Spring Boot based applications
- Automated credential rotation using AWS Secrets Manager
- Log management and dashboard creation using Splunk
- Application monitoring using AppDynamics
If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud
Regards,
Anitha. K
TAG Specialist
Company Introduction :
My Next Developer is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand.
We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.
Job Responsibilities
- Ensure security in the development activities.
- Implement risk management techniques and threat modeling.
- Implement infrastructure automation, monitoring and alerts as part of ISO 27001 and SOC 2 certifications.
- Collaborate with internal teams to produce the best security solutions
Minimum requirements :
- Bachelor's/Master's degree in degree in computer science, cybersecurity, engineering, or equivalent degree.
- 3+ years of experience as a DevSecOps engineer.
- Proficiency in back-end technologies such as NodeJs or Python.
- Expertise in using DevOps tools like GitHub, dependency management, and CI/CD.
- Profound knowledge of AWS cloud, DevOps culture and automation tools.
- Fluent in both spoken and written English communication.
- Ability to work full-time (40 hours/week) with a 2-3 hour overlap with European time zone.
- Stay up-to-date on cybersecurity threats and follow the best practices.
- Previous project experience related to ISO 27001 and SOC 2 certifications.
- Bachelor’s and/or master’s degree in Computer Science, Computer Engineering or related technical discipline
- About 5 years of professional experience supporting AWS cloud environments
- Certified Amazon Architect Associate or Architect
- Experience serving as lead (shift management, reporting) will be a plus
- AWS Architect Certified Solution Architect Professional (Must have)
- Minimum 4yrs experience, maximum 8 years’ experience.
- 100% work from office in Hyderabad
- Very fluent in English
- Working on scalability, maintainability and reliability of company's products.
- Working with clients to solve their day-to-day challenges, moving manual processes to automation.
- Keeping systems reliable and gauging the effort it takes to reach there.
- Understanding Juxtapose tools and technologies to choose x over y.
- Understanding Infrastructure as a Code and applying software design principles to it.
- Automating tedious work using your favourite scripting languages.
- Taking code from the local system to production by implementing Continuous Integration and Delivery principles.
What you need to have:
- Worked with any one of the programming languages like Go, Python, Java, Ruby.
- Work experience with public cloud providers like AWS, GCP or Azure.
- Understanding of Linux systems and Containers
- Meticulous in creating and following runbooks and checklists
- Microservices experience and use of orchestration tools like Kubernetes/Nomad.
- Understanding of Computer Networking fundamentals like TCP, UDP.
- Strong bash scripting skills.
Cloud native technologies - Kubernetes (EKS, GKE, AKS), AWS ECS, Helm, CircleCI, Harness, Severless platforms (AWS Fargate etc.)
Infrastructure as Code tools - Terraform, CloudFormation, Ansible
Scripting - Python, Bash
Desired Skills & Experience:
Projects/Internships with coding experience in either of Javascript, Python, Golang, Java etc.
Hands-on scripting and software development fluency in any programming language (Python, Go, Node, Ruby).
Basic understanding of Computer Science fundamentals - Networking, Web Architecture etc.
Infrastructure automation experience with knowledge of at least a few of these tools: Chef, Puppet, Ansible, CloudFormation, Terraform, Packer, Jenkins etc.
Bonus points if you have contributed to open source projects, participated in competitive coding platforms like Hackerearth, CodeForces, SPOJ etc.
You’re willing to learn various new technologies and concepts. The “cloud-native” field of software is evolving fast and you’ll need to quickly learn new technologies as required.
Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator.
B.E/B.Tech/M.Tech or equivalent experience.
Objectives of this Role
Improve reliability, quality, and time-to-market of our suite of software solutions
- Run the production environment by monitoring availability and taking a holistic view of system health
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer - needs, and innovating to continually improve
- Provide primary operational support and engineering for multiple large distributed software applications
- Participate in system design consulting, platform management, and capacity planning
- Languages: Python, Java, Ruby DSL, Bash
- Databases : MySQL, Cassandra , Elastic Search
- Deployment: AWS CloudFormation
Essential Criteria:
- 8 or more years administrating production Linux systems in a 24x7 environment
- 3 or more years’ experience in a DevOps/ SRE role as an engineer or technical lead
- At least 1 year of team leadership experience
- Significant knowledge of Amazon Web Services (CLI/APIs, EC2, EBS, S3, VPCs, IAM, AWS Lambda)
- Experience deploying services into containerized orchestration environments such as Kubernetes
- Experience with infrastructure automation tools like CloudFormation, Terraform, etc.
- Experience with at least one of Python, Bash, Ruby, or equivalent
- Experience creating and managing CI/CD pipeline like Jenkins or Spinnaker
- Familiar with version control using Git
- Solid understanding of common security principles
Nice to Have:
- Preference for hands on experience with Serverless Architecture, Kubernetes and Docker
- Strong experience with open-source configuration management tools
- Managing distributed systems spanning multiple AWS regions / data-centers
- Experience with bootstrapping solutions
- Open source contributor
- We’re committed to client success: There are over 6,200 brand and retail websites in the Bazaarvoice network. Our clients represent some of the world’s leading companies across a wide range of industries including retail, apparel, automotive, consumer electronics and travel.
- We’re leaders in consumer-generated content: Each month, more than one billion consumers view and share authentic consumer-generated content, such as ratings and reviews, curated photos, social posts and videos, about products in our network. Thousands upon thousands or reviews are added to the Bazaarvoice network everyday.
- Our network delivers: Network analytics provide insights that help marketers and advertisers provide more engaging experiences that drive brand awareness, consideration, sales, and loyalty.
- We’re a great place to work: We pride ourselves on our unique culture. Join a company that values passion, innovation, authenticity, generosity, respect, teamwork, and performance.
Radical is a platform connecting data, medicine and people -- through machine learning, and usable, performant products. Software has never been the strong suit of the medical industry -- and we are changing that. We believe that the same sophistication and performance that powers our daily needs through millions of consumer applications -- be it your grocery, your food delivery or your movie tickets -- when applied to healthcare, has a massive potential to transform the industry, and positively impact lives of patients and doctors. Radical works with some of the largest hospitals and public health programmes in India, and has a growing footprint both inside the country and abroad.
As a DevOps Engineer at Radical, you will:
Work closely with all stakeholders in the healthcare ecosystem - patients, doctors, paramedics and administrators - to conceptualise and bring to life the ideal set of products that add value to their time
Work alongside Software Developers and ML Engineers to solve problems and assist in architecture design
Work on systems which have an extraordinary emphasis on capturing data that can help build better workflows, algorithms and tools
Work on high performance systems that deal with several million transactions, multi-modal data and large datasets, with a close attention to detail
We’re looking for someone who has:
Familiarity and experience with writing working, well-documented and well-tested scripts, Dockerfiles, Puppet/Ansible/Chef/Terraform scripts.
Proficiency with scripting languages like Python and Bash.
Knowledge of systems deployment and maintainence, including setting up CI/CD and working alongside Software Developers, monitoring logs, dashboards, etc.
Experience integrating with a wide variety of external tools and services
Experience navigating AWS and leveraging appropriate services and technologies rather than DIY solutions (such as hosting an application directly on EC2 vs containerisation, or an Elastic Beanstalk)
It’s not essential, but great if you have:
An established track record of deploying and maintaining systems.
Experience with microservices and decomposition of monolithic architectures
Proficiency in automated tests.
Proficiency with the linux ecosystem
Experience in deploying systems to production on cloud platforms such as AWS
The position is open now, and we are onboarding immediately.
Please write to us with an updated resume, and one thing you would like us to see as part of your application. This one thing can be anything that you think makes you stand apart among candidates.
Radical is based out of Delhi NCR, India, and we look forward to working with you!
We're looking for people who may not know all the answers, but are obsessive about finding them, and take pride in the code that they write. We are more interested in the ability to learn fast, think rigorously and for people who aren’t afraid to challenge assumptions, and take large bets -- only to work hard and prove themselves correct. You're encouraged to apply even if your experience doesn't precisely match the job description. Join us.







