Software Development Engineer Testing (SDET)

1. Should have the experince of working on "Quick Book"
2. Daily Operations – Manage and oversee the daily operations of the accounting department
3. Reports – Maintain Profit & Loss statements, Balance sheet, Trial Balance, Cash Flow, Bank Reconciliation Statements, TALLY ERP 9, Revenue generation and Expense reports
4. Processing Payments – Processing invoices, commissions, brokerage payments, utilities and bills
5. Update Records - Update internal systems with financial data and maintain records for all daily transactions
6. Reports - Prepare financial reports - monthly, quarterly and annually.
7. Audits - Participate in financial audits
8. Bank deposits – Track bank deposits and payments
9. Petty cash - Manage petty cash and reimburse vouchers
10. Administration – Handle day to day activities and operations including coordination with external vendors and internal staff
11. Policies - Establish and review, implement and enforce proper accounting methods, financial policies and principles.
12. Manage Tax and GST
13. Maintain Journal Vouchers
14. Budget preparation
15. Returns Filing
16. Maintain attendance records
17. Payroll / Salary processing – Process salaries and prepare and provide salary slips to all.
18. Internal and External Coordination

Software Developer-PHP(Project BCS)

Summary:

We are seeking a highly skilled and experienced Junior Software Developer with a strong background in PHP to join our Information Technology department. The ideal candidate should have at least 5-6 years of experience with Laravel and possess a deep understanding of PHP frameworks(Laravel.Codeigniter) and coding practices. As a Software Developer, you will be responsible for developing and maintaining web applications, collaborating with cross-functional teams, and ensuring the delivery of high-quality software solutions.

Roles and Responsibilities:

- Collaborate with senior developers and project managers to gather requirements and design software solutions.

- Develop and maintain web applications using PHP frameworks such as Laravel or CodeIgniter.

- Write clean, maintainable, and efficient code following coding standards and best practices.

- Troubleshoot and debug software issues, identify and fix performance bottlenecks.

- Participate in code reviews to ensure code quality and adherence to coding standards.

- Integrate data from various back-end services and databases.

- Stay up-to-date with emerging technologies and industry trends, and apply them to improve software development processes.

- Assist in the deployment and maintenance of software applications.

Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 5-6 years of experience in software development, with a focus on PHP.

- Strong knowledge of PHP frameworks such as Laravel or CodeIgniter.

- Proficient in HTML, CSS, JavaScript, and MySQL.

- Experience with version control systems, such as Git.

- Familiarity with front-end frameworks like Vue.js or React is a plus.

- Excellent problem-solving skills and attention to detail.

- Strong verbal and written communication skills.

- Ability to work independently and as part of a team.

• Inventory Specialist (Req 2) 

Must have skills: 

Should have experience as End user in SCM 

Expertise in Supply Chain Management (SCM) Oracle preferred  

Experience in Inventory Management 

• You will coordinate and route the flow of material between contract manufacturers and distribution centers in North America, Europe, and Asia.  
• You will expedite parts to remedy any shortage problems.  
• Perform purchase order receipts, create travelers, and maintain records of material flow.  
• Updating logs, databases, maintaining files, project reports, specifications, product information, and documentation.  
• Preparing processes and status reports, assigning and monitoring documents/databases, and reviewing documents/databases for accuracy and completeness.  

• Responsible for incoming and outgoing material flows primarily supporting global distribution activities.  
• Monitor the flow of material and parts between various suppliers and internal departments to meet tight schedules. 

We’re looking for a Ruby on Rails Software Engineer/Shopify App Developer who has experience working with the Shopify platform and is able to work on a Shopify app.

Your Daily Challenges

When we welcome you aboard we’ll introduce you to your Team, which consists of a front-end developer, a Shopify App Marketer who grew 2 apps to million dollar annual revenue, and a product manager.

These are the people you’ll work closely with on Product development day-to-day. Once you get settled in and learn more about the team, your day to day activities will look something like this:

1. Own the end-to-end development cycle for the Shopify app you’ll be working on.
2. Coordinate with fellow developers to get things done on time. 
3. Implement high quality code in an agile, test driven development environment
4. Review exception reports to identify and fix bugs
5. Development of new apps and features
6. Maintenance of existing features
7. Collaboration with cross-functional teams
8. Contributions of ideas to improve the product

Your Experience

1. 3-5 years of experience with Ruby on Rails
2. Experience with Shopify app development
3. Familiar with Sidekiq, PostgreSQL
4. Good understanding of HTML and CSS (positioning and styling)
5. Excellent communication skills
6. Takes pride in writing clean, organized, efficient code
7. An eye for detail
8. Experience with vanilla JavaScript and React a plus
9. Experience working in an entrepreneurial/startup environment

Your Compensation

1. The compensation range for this role is INR 14-18 LPA (~25K USD) + up to 5% equity.
2. The compensation varies with experience and qualifications. 
3. This is a full-time remote/work from home position.

Thanks for the time you took to read about this opportunity.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology