Associate Product Manager

1. Collaborate with the team to develop design concepts and visual solutions.

2. Work with our draping software to create virtual draping experiences for our customers.

3. Assist in creating graphics for our products.

4. Assist in video editing and video making tasks to produce engaging promotional content for our brand

5. Apply your knowledge of digital marketing and Instagram marketing to strategize and execute effective social media campaigns that drive brand awareness and engagement.

6. Embrace design thinking principles to solve complex creative challenges and contribute innovative ideas to our design process.

7 Utilize Canva to develop aesthetically pleasing and visually appealing graphics for our online platforms and marketing materials.

8.Assist in creating social media calendar and Graphics by maintaining brand voice and identity.

Job Description

You will lead the journey of growth by analysing, solving the problems and executing new projects on ground!

• Create processes and methods to gather business data and create business reports
• Analyze data to identify problematic areas and suggest improvements
• Responsible for goal setting, planning, and execution of projects at farms
• Develop requirements and operational standards - SOP’s
• Conduct continuous reviews of metrics & drive or assist on improvements

Job Requirement

• Expert in SQL, Excel, other scripting languages (R, Python, etc.)
• 1-2 years of experience as business analyst
• Hands on experience on BI tools - Power BI, Tableau, Qlikview, Data Studio, Excel etc
• Self-driven, energetic, lives and breathes data with a problem-solving mindset.
• Should be enthusiastic for travelling on ground, lead teams and execute projects.

You are a perfect fit if you are:

• A self-starter and a quick learner. Result oriented with execution excellence. A problem solver with a go-getter attitude. Passionate about travelling, executing developing and lead teams.

We are searching for a committed, deadline-driven sales intern to join our excellent sales team. The sales intern will complete all tasks assigned by the manager, which may include conducting market research, identifying business opportunities, managing email campaigns, generating sales leads, making cold calls, participating in meetings, and assisting the Sales department wherever possible. You should be able to take instruction, but also work unsupervised when required.

To be successful as a sales intern, you should be willing to learn as much about the company as possible and be able to spot opportunities that have been overlooked by others. Outstanding sales interns are problem solvers who know the value of building lasting, professional relationships with clients.

Sales Intern Responsibilities:

• Working closely with the manager or assigned staff member, and completing all allocated tasks.
• Conducting desktop research, or gathering information through surveys or speaking to clients and staff.
• Attending and participating in meetings, workshops, events, and exhibitions.
• Liaising with clients, vendors, and suppliers on behalf of the company's managers.
• Updating documents and sales records.
• Reviewing sales performance against sales targets.
• Observing and carrying out sales processes.
• Identifying potential weaknesses and offering improvement suggestions.
• Assisting managers with negotiations.
• Keeping a log of everything learned and delivering presentations to staff and other stakeholders.

Sales Intern Requirements:

• High school diploma or similar.
• A degree in marketing, business or similar may be required.
• Basic understanding of different Sales & marketing techniques
• Excellent verbal and written communication skills
• Ability to work alone or as part of a team.
• Ability to cope with rejection.
• Superb interpersonal skills.

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.

Responsibilities:

1.    Perform R&D in computer graphics and video contents editing. Help to develop new video editing/processing algorithms for our video and live streaming pipeline. Follow up state-of-art work in related fields and keep improving overall performance of our products. 

2.    Research and optimize algorithms/strategies of short video and streamed video coding.

3.    Research and develop practical image enhancing algorithms. Follow up state-of-art work in related fields and keep improving overall performance of our video systems.