Experience
-3-6 years of experience in an HR Generalist role in a startup
-Bachelor’s degree (or equivalent) in human resources management or similar field Knowledge of applicant tracking systems
Role and Responsibilities
- Should have worked on end to end talent management - hire to retire model Should be able to take us through the employee lifecycle process
- Should be good at interacting with people and should have done the following: Conduct review and appraisal cycle across teams
- Look after employees' growth who is ready for promotion, who needs to do something different within the organization, who are the high potentials
- How to measure performance
- Benchmarking compensation across companies
- Attrition planning
- Succession planning
- Driving Learning & Development across company
- Ensuring cultural homogeneity
- Employee engagement
- Performance Management and its process
- Compensation benchmarking
Talent Acquisition
- Coordinate with hiring managers to identify staffing needs and candidate selection criteria
- Source applicants through online channels, such as LinkedIn and other professional networks
- Create job descriptions and interview questions that reflect the requirements for each position
- Compile lists of most-suitable candidates by assessing their CVs, portfolios, and references
- Organize and attend job fairs and recruitment events to build a strong candidate pipeline
- Maintain records of all materials used for recruitment, including interview notes and related paperwork, to share with key stakeholders.
Onboarding & Induction
Should have done the following:
- Plan and execute staff welfare programs.
- Provide a presentation to new joiners about HR policies of the company. Discuss about future planning and expansion of company with employees Organize health awareness programs for employees.
- Take care of maintaining a good relationship between employee and employer
Employee Grievance Handling:
Should have been involved in the below:
- Prepare and maintain employee retention policy.
- Handle and resolve grievances of employees.
- Resolve problems between employee and employer regarding different issues eg: compensation, processes, policies, etc. Share instances of any difficult issue resolved.
Skills
- Proficiency in documenting processes and keeping up with industry trends.
- Excellent interpersonal and communication skills.
- Exceptional ability to screen candidates, compile shortlists and interview candidates.
- Experience in creating awareness of the company brand and establishing professional relationships with candidates.
Benefits
Too lazy to cook food? Delicious lunch served at office.
ESOPs, based on grade level
Comprehensive Health Insurance plans
Shubham Vishwakarma
Full Stack Developer - Averlon
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Java
Scala
Spring BootThe Role:
Candidates Should be able to Create user information solutions by developing, implementing, and maintaining Java based components and interfaces.
Responsibility:
● Defines site objectives by analyzing user requirements; envisioning system features and functionality.
● Integrates applications by designing database architecture and server scripting; studying and establishing connectivity with network systems, search engines, and information servers.
● Enhances organization reputation by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to job accomplishments.
Requirement:
● 5+ Years of Software development experience in Java Programming.
● Having knowledge on Scala will be added advantage.
● Excellent core Java programming skills including multi-threading
● Design, Develop, build enterprise applications using Java and associated technologies
● Expert level knowledge in Spring Boot (includes spring core, spring web MVC/Webflux)
● Restful web service architecture and API management
● Solid foundation in data structures, algorithms, and software design NoSQL systems such as MongoDB, Redis
● Experience in Mysql will be an added advantage.
● Deep understanding of the project lifecycle process, able to define a comprehensive solution leading towards a common vision.
Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
Python
Machine Learning (ML)Internship Opportunity at REDHILL SOFTEC
Position: Software Intern
Duration: 3 Months
Domains: Machine Learning or Full Stack Web Development
Working Hours: 10 AM - 6 PM
About REDHILL SOFTEC:
REDHILL SOFTEC is a dynamic and innovative tech company committed to fostering talent and driving technological advancements. We are excited to announce an exclusive internship opportunity for MCA students passionate about Machine Learning or Full Stack Web Development.
Internship Details:
Duration: The internship spans 3 months, offering a deep dive into either Machine Learning or Full Stack Web Development.
Domains:
Machine Learning: Work on cutting-edge ML projects, learning and applying various algorithms and data analysis techniques.
Full Stack Web Development: Gain hands-on experience in both front-end and back-end development, working with the latest web technologies.
Stipend: This is an unpaid internship designed to provide valuable industry experience and skill development.
Working Hours: Interns are expected to work from 10 AM to 6 PM, ensuring a full-time immersive experience.
What We Offer:
Hands-on Experience: Engage in real-world projects that enhance your technical skills and industry knowledge.
Mentorship: Learn from experienced professionals who will guide and support you throughout the internship.
Skill Development: Acquire practical skills in Machine Learning or Full Stack Web Development, making you industry-ready.
Networking: Connect with industry experts and like-minded peers, building a strong professional network.
Who Should Apply:
MCA/BE/BCA students with a keen interest in Machine Learning or Full Stack Web Development.
Individuals looking to gain practical industry experience and enhance their technical skills.
Self-motivated learners eager to work on real-world projects and solve challenging problems.
How to Apply:
Interested candidates can apply by visiting our website and completing the registration process. Remember, spots are limited, and early applications are encouraged to secure your place in this enriching program.
Join REDHILL SOFTEC and take a significant step towards a successful career in technology!
REDHILL SOFTEC
Vijayanagar Bangalore
www.redhillsoftec.com
We look forward to welcoming passionate and driven interns to our team!
PythonWhat We’re Looking For:
- Strong experience in Python (5+ years).
- Hands-on experience with any database (SQL or NoSQL).
- Experience with frameworks like Flask, FastAPI, or Django.
- Knowledge of ORMs, API development, and unit testing
Python
Django
Flask3 years Minimum Experience Required (Vacancies 5)
Location:- Chandigarh IT Park (WFO)
Shift Timings:- UK Shift
Responsibilities:
- Develop, test, and maintain robust and scalable Python applications.
- Work collaboratively with cross-functional teams to design and implement new features.
- Ensure the performance, quality, and responsiveness of applications.
- Implement server-side logic, database integration, and system architecture.
- Choose and work with one of the following frameworks: Flask, Django, or Fast API.
- Utilize databases such as SQL, Post SQL, or MongoDB to support application development.
- Demonstrate proficiency in Linux or Ubuntu server environments.
- Knowledge of containerization tools, particularly Docker, for deployment and scalability.
- Implement and optimize caching strategies using Redis or Celery (a plus).
- Participate in the planning and implementation of Continuous Integration/Continuous Deployment (CI/CD) processes.
- Stay updated on industry trends and emerging technologies.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Python Developer with 3-5 years of hands-on development.
- In-depth knowledge of at least one of the following frameworks: Flask, Django, or Fast API.
- Strong expertise in databases such as SQL, Post SQL, or MongoDB.
- Familiarity with Linux or Ubuntu server environments.
- Proficiency in containerization tools, particularly Docker.
- Experience with Redis cache or Celery is a strong plus.
- Understanding of CI/CD processes and tools.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to thrive in a fast-paced and dynamic work environment.
HTML/CSS
Javascript
Angular (2+)
AngularJS (1.x)Roles and Responsibilities
- Software Development Lifecycle: Work on the full software development lifecycle of systems.
- Technical Expertise: Solid technical background with an understanding and/or hands-on experience in software development and web technologies.
- Product Lifecycle Management: Experience in going through a full product lifecycle, integrating internal and external customer feedback into product requirements, managing change requests, driving prioritization, and pre-/post-launch execution.
- System Analysis: Analyze systems, considering reliability, systems risks, and code.
- Project Management: Manage project conflicts, challenges, and dynamic business requirements to meet expected deliverables.
- Process Management: Excellent understanding of process management, improvement practices, and operation services.
- Communication: Strong written and verbal communication skills.
Desired Candidate Profile
- Experience: 2+ years of experience in end-to-end implementation and deployment within cloud systems.
- Technical Skills:
- Knowledge of Angular 8+, Azure, HTML, CSS, jQuery, JavaScript, ASP.Net, C#, SQL Server 2012/2014+, etc.
- Sound knowledge of Object-Oriented (OOPS) concepts.
- Good experience in Relational Database Management Systems, Database design, and Normalization.
- Hands-on experience in the design, development, and debugging of systems.
- Proficiency in Object-Oriented Design (OOD) to ensure scalability and maintainability.
Must Have Skills:
• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good experience in SQL DBs - Be able to write queries including fair complexity.
• Should have excellent experience in Big Data programming for data transformation and aggregations
• Good at ELT architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
• Good customer communication.
• Good Analytical skills
-Maintaining a positive, empathetic and professional attitude toward customers at all times.
-Responding promptly to customer inquiries.
Acknowledging and resolving customer complaints.
- Ensure customer satisfaction and provide professional customer support.
-Follow company process accurately and efficiently Experience.
Amazon Web Services (AWS)Moreover, technical support needs to talk to customers directly, as well as create written documentation, requiring excellent written and verbal communication.
Technical Support Responsibilities:
Identifying hardware and software solutions.
Troubleshooting technical issues.
Diagnosing and repairing faults.
Resolving network issues.
Installing and configuring hardware and software.
Speaking to customers to quickly get to the root of their problem.
Providing timely and accurate customer feedback.
Talking customers through a series of actions to resolve a problem.
Following up with clients to ensure the problem is resolved.
Replacing or repairing the necessary parts.
Supporting the roll-out of new applications.
Providing support in the form of procedural documentation.
Managing multiple cases at one time.
Testing and evaluating new technologies.
Conducting electrical safety checks on equipment.
Technical Support Requirements:
Degree/Diploma in computer science or information technology.
Prior experience in tech support, desktop support, or a similar role.
Proficiency in Windows/Linux/Mac OS.
Experience with remote desktop applications and help desk software.
Attention to detail and good problem-solving skills.
Excellent interpersonal skills.
Good written and verbal communication.
PHPPython
Laravel
NodeJS (Node.js)Amazon Web Services (AWS)What will I be doing? 👩💻👨💻
Leading parts of the product from inception to launch, and own large parts of the product’s execution.
Working with our Sales and frontend team to build products with the goal of delighting and increasing the success of our users.
Architecting, building, testing, and releasing product-facing features.
Contributing to our side projects and free tools for the education industry.
What do I need? 🤓
1-2 years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team.
Deep knowledge of a high-level programming language (for example, PHP, Python, etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
Deep knowledge of SQL Databases
Experience with scalable distributed systems, both built from scratch as well as on AWS primitives
Willingness to learn and use new technologies
Extremely data-driven
Ability to debug complex systems
Brownie points 🍰
Using a framework (for example, Laravel, Code Igniter, Django)
Understanding of containerisation (Docker/Kubernetes) along with ability to deploy to AWS ECS (or similar tools)
Feel free to apply even if you feel unsure about whether you meet every single requirement in this posting. As long as you're a quick learner, and are excited about changing the status quo for tech recruitment, we're happy to support you as you come up to speed with our tech stack.
Perks 😍
Flexible vacation
Take a tutorial, on us
Monthly remote meals
Tech stack 🔨
PHP
Laravel
NodeJS
VueJS
Ionic Angular
Digital Ocean
AWS
MySQL
Why Classcard? 🚀
We are still in the early stages of our journey. You will be working closely with our users, acting on both their feedback and what our data says. Things you build here will have tremendous impact on both our business and Classcard as a company.
What happens after I apply? 🤔
-
Quick phone call with a member of our engineering team to find out more about your experience and why you want to work at Classcard.
-
Video interview:
Technical discussion with a senior engineer
Pairing on an interesting problem
Meet the founders
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon