Prime production support

Roles and Responsibilities:

• Good Command of HTML, CSS, Bootstrap, and Javascript
• Must work in Elementor Pro
• Experience with PSD to WordPress
• Good Understanding of PSD requirements
• Knowledge about PSD to HTML Conversion
• Knowledge of PSD Layers/My SQL
• Knowledge of woo commerce,PHP
• Good knowledge of Elementor and Page Builder

● 1-2 years in outbound focused sales position desired; customer-oriented background

required (sales, support, customer service) in B2B preferably

● Bachelor’s degree in business, marketing, or related field

● Excellent communication and interpersonal skills

● The ability to generate leads independently.

● Willingness to learn and apply the fundamentals of the MEDDIC Sales process approach

● Great to have-Artificial Intelligence, Machine Learning and/or Computer Vision

● Knowledge of the AI industry and emerging technologies

Data Scientist – Program Embedded 

Job Description:   

We are seeking a highly skilled and motivated senior data scientist to support a big data program. The successful candidate will play a pivotal role in supporting multiple projects in this program covering traditional tasks from revenue management, demand forecasting, improving customer experience to testing/using new tools/platforms such as Copilot Fabric for different purpose. The expected candidate would have deep expertise in machine learning methodology and applications. And he/she should have completed multiple large scale data science projects (full cycle from ideation to BAU). Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. This is a data science role directly embedded into the program/projects, stake holder management and collaborations with patterner are crucial to the success on this role (on top of the deep expertise). 

What we are looking for: 

1. Highly efficient in Python/Pyspark/R. 
2. Understand MLOps concepts, working experience in product industrialization (from Data Science point of view). Experience in building product for live deployment, and continuous development and continuous integration. 
3. Familiar with cloud platforms such as Azure, GCP, and the data management systems on such platform. Familiar with Databricks and product deployment on Databricks. 
4. Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches. 
5. Solid background in statistics, probability distributions, A/B testing validation, univariate/multivariate analysis, hypothesis test for different purpose, data augmentation etc. 
6. Familiar with designing testing framework for different modelling practice/projects based on business needs. 
7. Exposure to Gen AI tools and enthusiastic about experimenting and have new ideas on what can be done. 
8. If they have improved an internal company process using an AI tool, that would be great (e.g. process simplification, manual task automation, auto emails) 
9. Ideally, 10+ years of experience, and have been on independent business facing roles. 
10. CPG or retail as a data scientist would be nice, but not number one priority, especially for those who have navigated through multiple industries. 
11. Being proactive and collaborative would be essential. 

Some projects examples within the program: 

1. Test new tools/platforms such as Copilo, Fabric for commercial reporting. Testing, validation and build trust. 
2. Building algorithms for predicting trend in category, consumptions to support dashboards. 
3. Revenue Growth Management, create/understand the algorithms behind the tools (can be built by 3rd parties) we need to maintain or choose to improve. Able to prioritize and build product roadmap. Able to design new solutions and articulate/quantify the limitation of the solutions. 
4. Demand forecasting, create localized forecasts to improve in store availability. Proper model monitoring for early detection of potential issues in the forecast focusing particularly on improving the end user experience. 

Screening the resumes and selecting a big number for the first round of interview

Scheduling the shortlisted candidates for further rounds with line managers

Managing various profiles and updating the candidate tracker

Creating and managing databases of employee information, including contact details and employment forms

• Job Title:- HR – Executive
• Experience:- Min. 2 years’ experience
• Job Location:- Opp. Sola over bridge, Ahmedabad
• Number of Vacancy:- 01, Sunday week off
• Notice Period:- Can join less than a month

Job Description:-

• Reviewing resumes and applications.
• Conducting recruitment interviews and providing the necessary inputs during the hiring process.
• Working with recruitment agencies to source for candidates for specific job positions.
• Coordinating with consultants and candidates for scheduling appointments with the management team for sourcing.
• Conducting first round of telephonic interview for the candidates to schedule interviews.
• Maintaining HR records, such as those related to compensation, Personnel files, etc.
• Communicating and explaining the organization's HR policies to the employees.
• Follow up of confirmation records statutory obligations - PF, ESIC, taxes, gratuity, LTA, bonus, etc.
• Preparation of salary statement.
• Handling the full and final settlement of the employees.
• General Administration.
• Preparing and submitting all relevant HR letters/documents/certificates as per the requirement of employees in consultation with the management.
• Recording, maintaining and monitoring attendance to ensure employee punctuality.
• Conducting employee orientation and facilitating newcomers joining formalities.
• Maintaining and regularly updating the master database (personal file, personal database, etc.) of each employee.
• Resolving grievances or queries that any of the employees have.
• Escalating to the right level depending on the nature of the grievance or issue.
• Conducting exit interviews for employees and recording them accordingly.
• Reviewing job descriptions for all positions at regular intervals and updating them in consultation with the respective managers.
• Engaging with employees on a regular basis to understand the motivation levels of people in the organization.