We are looking for a skilled and detail-oriented Accountant with 2-8yrs years of hands-on experience CA Firm in Bookkeeping, GST and TDS return filings, income tax return (ITR) preparation, audit support, and ROC compliance. The ideal candidate should possess a strong understanding of accounting principles and regulatory requirements.
Key Responsibilities:
- Maintain accurate records of daily financial transactions (bookkeeping).
- Prepare and file GST returns (GSTR-1, GSTR-3B, etc.) on a monthly/quarterly basis.
- Prepare and file TDS returns (Form 24Q, 26Q, etc.) and ensure timely payments.
- Assist in the preparation and filing of income tax returns (ITR) for individuals and businesses.
- Support statutory and internal audits, including preparation of audit schedules and documentation.
- Handle ROC compliance, including the preparation and filing of necessary forms and returns.
- Coordinate with auditors, consultants, and tax authorities when required.
- Reconcile bank statements, vendor payments, and ledgers on a regular basis.
- Ensure compliance with all applicable accounting standards, taxation laws, and regulatory requirements.
Requirements:
- Bachelor’s degree in commerce, Accounting, or a related field (B. Com/M. Com).
- 2–8yrs experience in CA firm or Company.
- Proficiency in accounting software such as Tally, Compu Tax, and MS Excel.
- Solid knowledge of GST, TDS, ITR processes, and ROC filings.
- Strong attention to detail, organizational skills, and ability to meet deadlines.
- Strong attention to detail and communication skills.

About Surety Seven Technologies
About
Surety Seven (007) is India's first Surety Bonds and insurance technology provider. Surety Seven (007) works with Insurance and Reinsurance companies to provide customized Surety Bonds technology solutions to companies.
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This Is NOT a Typical Java Role If your experience is mostly CRUD APIs, controller wiring, or shallow service layers — this role is not for you. We are looking for a top tier backend engineer who thrives on:
* Designing complex algorithms
* Building high-performance, memory-efficient systems
* Owning deep backend logic that actually moves the needle
You will work close to the core engine of the product, not the edges.
What You’ll Be Trusted With
* Architect and build backend systems that must perform under load
* Design and implement custom algorithms for real-world, non-trivial problems
* Solve performance bottlenecks involving CPU, memory, I/O, and concurrency
* Build backend services where latency, throughput, and correctness matter
* Own document & PDF processing pipelines end-to-end:
-Composition
-Rendering
-Optimization
- High-volume generation
* Make hard technical decisions and stand by them
Non-Negotiable Skills
* Exceptional Java expertise (Core Java, Spring Boot, Java 8+)
* Strong command over:
- Data structures & algorithms
- Multithreading & concurrency models
- JVM internals & memory management
* Proven experience building custom algorithms (this will be evaluated)
* Deep backend engineering experience with Spring / Spring Boot
* Strong understanding of:
- API design principles
- Fault tolerance & resilience
- Performance tuning & profiling
* Ability to reason about time complexity, space complexity, and trade-offs
* Strong database fundamentals (query optimization, indexing, transactions)
* Experience with message brokers (ActiveMQ, Kafka, RabbitMQ)
* Exposure to Kubernetes-based deployments or large-scale microservices
Interview Focus (Be Prepared)
* Algorithm design & problem solving
* Deep Java fundamentals
* System design discussions (backend-heavy)
* Performance tuning scenarios
* Real-world debugging and optimization challenges
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.
Profile: AWS Data Engineer
Mode- Hybrid
Experience- 5+7 years
Locations - Bengaluru, Pune, Chennai, Mumbai, Gurugram
Roles and Responsibilities
- Design and maintain ETL pipelines using AWS Glue and Python/PySpark
- Optimize SQL queries for Redshift and Athena
- Develop Lambda functions for serverless data processing
- Configure AWS DMS for database migration and replication
- Implement infrastructure as code with CloudFormation
- Build optimized data models for performance
- Manage RDS databases and AWS service integrations
- Troubleshoot and improve data processing efficiency
- Gather requirements from business stakeholders
- Implement data quality checks and validation
- Document data pipelines and architecture
- Monitor workflows and implement alerting
- Keep current with AWS services and best practices
Required Technical Expertise:
- Python/PySpark for data processing
- AWS Glue for ETL operations
- Redshift and Athena for data querying
- AWS Lambda and serverless architecture
- AWS DMS and RDS management
- CloudFormation for infrastructure
- SQL optimization and performance tuning
We are the largest and most active online platform for international education!
Yocket was established in 2015 with a mission to connect people to the world's best learning opportunities.
Today, Yocket is the largest community-driven online platform for international education. We help the study abroad aspirants by connecting them to the best universities over the world. Till date, we have helped more than 10,00,000 students across countries pursue their higher education.
Every day thousands of students use our products to explore universities, connect with peers and alumni from renowned universities. Recently we were chosen as one of the Top 100 Indian Startups by Google and MeitY’s Appscale Academy Initiative !! We’re also ranked #18 on AppStore Top Charts - Education!
At Yocket, we strive to help our employees find passion and purpose. Join us in changing the way students make their decisions about education. If you wish to create an impact and help students get the best education by taking our vision ahead, we would love to have you in our team!
Key responsibilities:
The employee will be involved in direct sales.
Internship to 1 year of experience in Sales
He/She will be responsible for building rapport with students and their parents.
Needs to have an understanding of the student profile.
Good to have CRM knowledge
Good target records
Open to making from different sources
Open to traveling
Open to attending Virtual events and Physical events/seminars/Webinars
Requirements
1 to 3 years of experience in Sales
Bachelors degree or equivalent experience.
Excellent written and verbal communication skills.
Highly organized with excellent attention to detail.
Prior experience in sales/knowledge of sales tools
About JNJ Technologies
• Our company name is JNJ Technologies & Services. It is
based out of Andra Pradesh, Vijayawada startup
company. We have started in 2023, And it is servicesbased company for 2 wheelers and 4 wheelers
• We are dealing with subscription plan of Bike & Car
Subscription package start from 4999-21,999.
• We are having verities of subscription plan variable in
duration.
• We offer a wide range of services including vehicle body
repair, brake repair, vehicle grooming, and 24/7
breakdown assistance.
• Exposure to Cloud
• Versatile in choosing appropriate tools and frameworks for the Core and advance java development procedures.
• Good in Spring Boot and latest java methodologies to suggest best practices and proven solutions to the business.
• Expert in service oriented solutions and micro services architecture (REST). Should have been a part of monolithic to micro services rearchitecture.
• Exposure towards No-Sql databases such as Cassandra or Mongo DB.
Good hands on experience in US & UK Market
good hands on experience in software solution sales
good Communication must
- Proficient in Python 2 / 3 and have built products before (managing the entire DevOps cycle) - proficient in Python Data Structures
- Good understanding of Open Source Visualisation Tools like D3.JS, Matplotlib etc.
- Good understanding of Functional APIs and Data Ingestion viz. Pandas’ dataframe from SQL DB and Excel (CSV) & Flat files of (primarily) structured data - no data cleansing
- Growth mindset - eagerness to learn and grow in the role
- Qualifications: B.Tech / BE / Graduate Engineer in any stream (preferred Mech / Industrial Engineer)
- Compensation : At par with industry (with stock options / grants to be vested over 3 years)










