Marketing Trainee

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. 

A Senior Business Development Associate (BDA) in the EdTech industry focused on sales would typically be responsible for developing and executing sales strategies to drive revenue growth for educational technology products or services. Some key responsibilities may include:

1. Identifying and reaching out to potential clients (e.g., educational institutions, corporate training programs) to generate leads and build a strong sales pipeline.

2. Conducting market research to understand the needs and preferences of the target audience and develop targeted sales pitches and proposals.

3. Collaborating with internal teams, such as product development and marketing, to align sales efforts with overall business goals and objectives.

4. Presenting product demonstrations, conducting sales presentations, and negotiating contracts with clients.

5. Managing client relationships, providing exceptional customer service, and addressing any inquiries or issues to ensure client satisfaction and retention.

6. Analyzing sales data, tracking performance metrics, and providing regular reports to management to evaluate the effectiveness of sales strategies and identify areas for improvement.

Overall, a Senior BDA in EdTech sales would play a crucial role in driving business growth, establishing strong relationships with clients, and contributing to the overall success of the organization in the education technology industry.

We’re looking for a passionate Data & Automation Engineer to join our team and assist in managing and processing large volumes of structured and unstructured data. You'll work closely with our engineering and product teams to extract, transform, and load (ETL) data, automate data workflows, and format data for different use cases.

Key Responsibilities:

• Write efficient scripts using Python and Node.js to process and manipulate data
• Scrape and extract data from public and private sources (APIs, websites, files)
• Format and clean raw datasets for consistency and usability
• Upload data to various databases, including MongoDB and other storage solutions
• Create and maintain data pipelines and automation scripts
• Document processes, scripts, and schema changes clearly
• Collaborate with backend and product teams to support data-related needs

Skills Required:

• Proficiency in Python (especially for data manipulation using libraries like pandas, requests, etc.)
• Experience with Node.js for backend tasks or scripting
• Familiarity with MongoDB and understanding of NoSQL databases
• Basic knowledge of web scraping tools (e.g., BeautifulSoup, Puppeteer, or Cheerio)
• Understanding of JSON, APIs, and data formatting best practices
• Attention to detail, debugging skills, and a data-driven mindset

Good to Have:

• Experience with data visualization or reporting tools
• Knowledge of other databases like PostgreSQL or Redis
• Familiarity with version control (Git) and working in agile teams

As a Inhouse lawyer, you will be legal representative of the company and will be providing legal advice and guidance on all kinds of legal matters

• Preparing legal agreements, contracts and any such legal documents
• Ensuring compliance of laws and regulations across all the operations in the organization
• Legally advise the management on all litigation matters and also will be managing litigation to achieve the best possible outcomes
• Handling and guiding the legal team
• Handling all the activities related to Contract Management which includes advising the management on all existing & New laws
• Providing necessary advice to various business teams regarding legal and safety laws
• Drafting and vetting of the terms and conditions as well as the agreements related to, but not limited to, the company’s website, advertising, promotional activities, technology service etc.
• Searching, tracking and sending notice to brands infringing the company’s trademark (Domestic and Overseas)

YOU'LL BE OUR : Data Scientist                                                            YOU'LL BE BASED AT: IBC Knowledge Park, Bangalore

YOU'LL BE ALIGNED WITH :Engineering Manager

YOU'LL BE A MEMBER OF : Data Intelligence

WHAT YOU'LL DO AT ATHER:

• Work with the vehicle intelligence platform to evolve the algorithms and the platform enhancing ride experience.

• Provide data driven solutions from simple to fairly complex insights on the data collected from the vehicle

• Identify measures and metrics that could be used insightfully to make decisions across firmware components and productionize these.

• Support the data science lead and manager and partner in fairly intensive projects around diagnostics, predictive modeling, BI and Engineering data sciences.

• Build and automate scripts that could be re-used efficiently.

• Build interactive reports/dashboards that could be re-used across engineering teams for their discussions/ explorations iteratively

• Support monitoring, measuring the success of algorithms and features build and lead innovation through objective reasoning and thinking Engage with the data science lead and the engineering team stakeholders on the solution approach and draft a plan of action.

• Contribute to product/team roadmap by generating and implementing innovative data and analysis based ideas as product features

• Handhold/Guide team in successful conceptualization and implementation of key product differentiators through effective benchmarking.

HERE'S WHAT WE ARE LOOKING FOR :

• Good understanding of C++, Golang programming skills and system architecture understanding

• Experience with IOT, telemetry will be a plus

• Proficient in R markdown/ Python/ Grafana 

• Proficient in SQL and No-SQL

• Proficient in R  / Python programming

• Good understanding of ML techniques/ Sparks ML

YOU BRING TO ATHER:

• B.E/B.Tech preferably in Computer Science

•  3 to 5 yrs of work experience as Data Scientist

Responsibilities:

• Interact & Interview Chairperson of college or university.
• Featured & Research oriented articles about the Education System.
• Interview of famous personalities from the educational industry.
• Stories of success from leading professionals.

Requirements:

• Proven working experience as a Reporter.
• Portfolio of published articles.
• Computer proficiency (MS Office, digital editing, web search, databases)
• Excellent communication, lobbying, and active listening skills.
• Good hold in education industry persons.
• Bachelors degree in journalism or mass communications.

Job Description: Java Full Stack Developer 

Skills 

Primary 

• Java, J2EE, Spring MVC 
• Hibernate or other ORM 
• Web technology and security, REST framework 
• Any one UI technology and ready to learn a new one. 
• Database knowledge (MySQL, Oracle, Postgres) 
• Unit testing frameworks 
• Version Control (Eg., Git) 

Good To Have 

• JQuery, XML, HTML5, AngularJS/Angular and other UI technology
• Shell Scripting 
• Python 

Key Responsibilities 

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
• Stay up-to-date on emerging technologies 

Requirements 

• 2 to 5 years of work experience as a Java Developer or similar role 
• BS/MS degree in Computer Science, Engineering or a related subject 
• Proven hands-on Software Development experience
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE platforms
• Object Oriented analysis and design using common design patterns. 
• Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc)
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Experience in developing web applications using at least one popular web framework
•  Experience with test-driven development

Job Benefits and Compensation 

• WebShar offers a very competitive salary depending on experience 
• 24 days paid vacation each year (CL, PL, SL), earned at a rate of 2 days per month. 
• MacBook Pro 
• Flexible time / and availability to work from home from time to time 
• Medical insurance 
• Team outing and lunches, 
• Reimbursement as per HR policies 

○ Internet reimbursement upto 1500 

○ Commutation reimbursement upto 6000 

○ ISD reimbursement