Digital Marketing Executive

Looking immediate joiners.

Experience in JD Edwards sales and distribution, advance pricing, p2p, warehouse management.

Synopsis:

We are seeking a detail-oriented Payroll Executive to oversee all aspects of payroll management and processing within our organization. The ideal candidate will have strong knowledge and experience in payroll processing, familiarity with the Tally environment, and expertise in statutory compliance including PF, ESIC, PTAX, and other relevant regulations. The Payroll Executive will be responsible for ensuring accurate and timely payroll processing, adherence to statutory requirements, and maintaining comprehensive records.

A Day in Your Life:

● Manage end-to-end payroll processing, including salary calculation and deductions.

● Ensure compliance with PF, ESIC, PTAX, and other statutory regulations.

● Utilize Tally software for payroll processing and reconciliation.

● Prepare and submit monthly/yearly returns and challans.

● Maintain accurate records and assist in financial statement preparation.

Must be very strong in UI framework (Angular) 

·        Good understanding of core JavaScript and OOJS concepts.

·        Working experience in Web services (SOAP/Restful) integration, failure analysis etc...

·        Hands-on development experience using JavaScript, HTML5, CSS 3, AJAX, JSON, Bootstrap, Angular.

·        Full stack development experience with C#, ASP.NET MVC, Web API.

Senior Software Engineer - Backend

About the company

We are building analytics on natural language to help product development teams learn from large-scale customer feedback. Since our inception in 2020, we have been backed by top-tier VC firms from Silicon Valley and India. Today, we are proud to partner with some of the fastest scaling Product Led Growth companies. We are growing really fast and excited about having more people join us on this journey

Roles & Responsibilities

• Working closely with founders to develop the entire backend and build out product features at a rapid pace.
• Identifying and driving innovative solutions to address the most critical needs of our customers.
• Work in close collaboration with cross-functional partners in data science, design and frontend functions.
• Solve complex MLOps (model deployment, monitoring, training) challenges.
• Build cost effective and scalable systems.
• Contribute to product development by pitching in with ideas and doing proof-of-concepts.

Qualifications

• Over 2 years of work experience in the industry.
• Experience of domain modelling and deep understanding of distributed systems.
• Proficiency with any part of our technology stack: Golang, Serverless, Event Driven Architectures, NoSql/SQL, Elastic Search, Graphql, Microservice Architecture
• Hands-on experience in using versioning systems like Git.
• Experience working with CI/CD pipelines.
• Experience with automated test suites
• Strong interpersonal skills and a desire to work collaboratively to achieve objectives
• Excellent organisational and analytical abilities

Benefits and Perks

• Autonomy and Ownership
• Smart, Humble and Friendly peers
• Competitive remuneration package with equity options
• Generous vacation
• Maternity and Paternity leaves
• Learning & Development resources
• Initial grant to setup home-office 
• Monthly stipend for coffee / nutritional supplements

Position description:

• Architect and own the report automation framework using GCP’s Bigquery and any scripting language (R/Python)
• Work on the enhancement of existing and new analysis on Tableau 
• Work closely with the existing team and mentor them 
• Work on Ad-hoc analysis

Primary Responsibilities:

• Architect and own the report automation framework using GCP’s Bigquery and any scripting language (R/Python)

Reporting Team

• Reporting Designation: Data Science Analyst
• Reporting Department: Digital Analytics BI (2511)

Required Skills:

• Hands-on experience in relevant tools like SQL(expert), Excel, R/Python, Tableau/PowerBI
• Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required

Srijan Technologies is hiring for EA to COO position with a permanent work from home option.
Candidates from Tier 1 and Tier 2 MBA colleges are preferred with a max 30 days notice period.

MBA is mandatory.
    
Job Description:
  Executive Assistant to COO

The Executive Assistant will provide executive-level support to the Chief Operating Officer (COO)

• Maintain an accurate and detailed calendar for COO, manage and log incoming scheduling requests, re-schedule meetings upon request, proactively communicate changes, and anticipate and respond to scheduling conflicts
• Track COO’s tasks and projects to ensure appropriate prioritization of projects with respect to deadlines and organizational developments
• Maintain monthly/quarterly/annual MISs with all the reporting departments, work on special projects arising out of it
• Organize internal and external meetings for COO, including logistical and substantive preparation
• Ensure consistent and efficient interaction with other department heads and reporting teams throughout the  organization; demonstrate poise and tact under pressure and handle matters with sound judgment and confidentiality
• Provide special project leadership and support as needed. 
• Conduct preliminary research on a variety of topics; draft materials as needed
• Perform any other relevant duties as assigned
• Exp 3-5 years from Top Tier College
• From Tier 2 and Tier 3 place preferred

• Delivering a complete front-end application using Angular 7 and higher Writing tested, idiomatic, and documented JavaScript, HTML and CSS Coordinating the workflow between the UX designer and backend developer
• Experience working with CI/CD pipelines using Jenkins.
• Creating custom, general use modules and components which extend the elements and modules of core Angular
• To succeed in this role, you should have the following skills and experience
• Experience building Enterprise applications Angular, JavaScript and HTML5Professional, precise communication skills
• Deep knowledge of Angular 7 and commonly used modules based on extensive work experience Creating self-contained, reusable, and testable modules and components
•  Extensive knowledge of CSS for providing performant visual effects
• Validating user actions on the client side and providing responsive feedback
• Good knowledge in Source Control Management (Git)
• Experience of working with bug tracking, continuous integration and other productivity enhancement software like TFS, Bugzilla, Jira etc.
•  Prior experience in working in Agile software methodologies

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.