NLP Engineer

• Roles & Responsibilities
• Job Purpose:
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• To manage the store operations of the respective store efficiently and run it as a successful unit through effective stock management, visual merchandising and achieve the desired sales targets while ensuring the customer service of highest standards.
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• Job Context & Major Challenges:
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• A store manager has to manage the storel operations, and at the same time achieve the sales target within a stipulated budget allocated for the store. The store manager has to manage the relationship with the visual merchandising team, projects ,HR ,buying team to ensure that the upkeep training, recruitment, the maintenance of the store are proper, and has to report to the regional manager .
• The major challenges of the jobholder are:
• Lack of responsibility shown by the CCAs after few months of recruitment, low discipline levels • Screening of right candidate for accurate hiring
• Consistency of the sales inspite of daily challenges
• Consistency in delivery TC Experience daily
• Inventory management
• Rostering / people management / grievance
• Accountabilities
• Establish rapport with potential and actual customers on a daily basis • Ensure clean and safe environment for the customer
• Ensures Daily capture of customer information & Bill linking – identify gaps and suggest improvement
• Looks into pattern of information and draw inference on customer types /likings/trends /quality of information captured
• Thank you cards / Calls – process adhered to ( Tracking and ensuring business results and quality call outs
• Ensure every customer gets TC delight 100% adherence of experience delivered
• Ensure that customers become repeat customers once they enter the store.Personally develop relations with top 50 customers of the store • Track customer sales closely across segments /types on a weekly basis • Supervise customer needs and looks at new ideas to delight.
• Performance chats on a monthly basis with individuals
• 24 hours resolution for crew grievance /if escalation to close within 7 days
• Take the initiative at the store level to improve the employee engagement
• Ensure Development plan for Coache’s and their teams is managed well on a quarterly basis..
• Appraisals – Quarterly chats on performance as per KRA
• Ensure there is development plan prepared for all store

People Management

Motivate the staff during the morning briefing about daily sales targets • Rostering , Schedule shifts and ensure punctuality of staff

HR Overview

• Screening for New hires as per Evaluation matrix
• Closure of timely recruitments
• Monthly StoreTraining Calendar adhered to , and gaps are filled on a monthly basis
• Weekly Audits and check on understanding on new joinee training • Ensure 100% adherence that every customer get TC Delight - manages evaluations and trainings for the team - issues with customers sorted within 24 hours - Observes coaches and ASM and take inputs for their Teams - Training needs identified and discussed with L&D for resolution

Visual Merchandising

• Implementation of the plan along with the VM champ
• VM changes at the suitable times in the store
• Replenishment of stocks on the floor
• Ensure VM Guidelines are met before store opening and during the day • Ensures daily actions are taken on VM opening checklist
• Window Maintenance – Ensures standards are met – does a walk thru twice a day
• Gives feedback on sections before pictures are taken and sent to HO • Display change – ensures activity done and time lines adhered to • Fixture maintainace –ensures problems are timely fixed.
• New GTM Window installations – timely done
• Track sales from merchandise going to stylists

Standard Operating Procedures

• Ensures that store opening/closing standards are followed properly,if gaps helps improve system
• Drives Store PnL
• Responsible for personnel planning, work hours, store / team holiday plan
• Inventory management and planning for each product category • Drives Store CRM Managements
• Ensure Timely closure on MIS / Reports Etc Ensure that the housekeeping staff follows the checklist properly
• Control mechanical maintenance of lights, air-system, electrical equipment

Accountabilities

• Reports property damage, request needed repairs within company time frames
• Conducts monthly meetings with different stakeholders
• Ensure proper installation of signage display façade properly cleaned • Daily Counts – Supervision of accuracy and timely reports sent. • Inward /Outward – Resigters maintained ,weekly supervision on dispatch / signs off on compliance
• Manages External Relations –Landlords / Mall team/ vendors

Cost Management

• Schedule the expenditures for the month(petty cash management)
• Follow the preventive maintenance schedule to reduce the costs
• Maintain the safety, energy consumption, and expenses reports
• Control costs incurred on the services provided by the vendors
• Control cash deposits and submission of credit slips on a daily basis
• Maintain records pertaining to customer discounts, schemes
• DMS – Supervision of DMS entry weekly and sufficient funds for store to run

Achievement of sales targets

• Explain & drive the sales targets to Managers on a daily basis • Coordinates with RM on Monthly Targets
• Contribute to the team efforts for accomplishing desired results by setting objectives and directions for KPI’s ,category revenue, competiton analysis,market trends
• Analyze sales very 3 hours to better daily performance
• SMS to be sent to the RM as required
• Motivate store team to achieve daily targets
• Understand Business on a MTD/WTD/FTDbasis and briefs coaches .

Shrinkage control

• Ensure the global count is done accurately on a daily basis and reports sent to HO
• Ensure that nobody from the staff indulges in pilferage and other activities
• Co-ordinate with security guard & staff to keep a watchful eye on customers
• Anticipate problems & preempt them by coming up with creative solutions
• Constantly identifies areas of improvement, takes initiative to drive them

People Management- Demonstrates ability to holistically monitor various HR analytics like workforce planning, staffing levels, engagement scores, salary costs, attrition levels

Competencies- Works with individuals to identify areas of development, works to improve them

Work Standards- Sets standards for excellence to achieve a high level of quality • Accepts responsibility of outcomes of one’s work; admits mistakes and refocuses efforts

Provides encouragement and support to others in accepting responsibility; does not accept others’ denial responsibility without questioning

Raises the bar and repeatedly encourages the team to continually improve. Allocates appropriate resources to get the work done • Provides clear, thorough & timely feedback on work performance to individuals.

Gets Results- Raises the bar and repeatedly encourages the team to continually improve. Allocates appropriate resources to get the work done • Provides clear, thorough & timely feedback on work performance to individuals

Customer Relations- Works to educate the customers so that they are fully aware of products Establishes good interpersonal relationships by helping people feel valued

Handles upset customers by hearing the customer, empathizing, apologizing, and taking personal responsibility for resolving customer problems/issues

Team Work- Builds strong teams that capitalize on differences in expertise, competencies

Champions collaborative team working across departments/ functions • Proactively works with colleagues to develop solutions to their issues

• Overall Synopsis (Skills to focus) 
• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

This is a full-time WFH NIGHT SHIFT role.

Face to face drive for Mumbai based candidates.

25th & 26th April

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

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