What you’ll be doing:
LiteStore is seeking a dynamic and driven Management Trainee to join our passionate team. This role offers a unique opportunity to work closely with the company's founders, contributing to the strategic initiatives that drive LiteStore's growth and success. As a Management Intern, you will gain invaluable insights into the world of innovative retail, D2C brands, digital-to-physical brand transitions, and building strategic initiatives.
Responsibilities:
- Collaborate directly with LiteStore's Strategic Initiatives Team to support their day-to-day activities and strategic priorities.
- Conduct in-depth research and analysis on market trends, competitor landscape, and potential growth opportunities to inform decision-making.
- Assist in preparing and refining presentations, reports, and documentation for internal and external stakeholders.
- Participate in brainstorming sessions, idea generation, and strategic planning discussions.
- Help coordinate and manage special projects, events, and initiatives that align with LiteStore's vision and goals.
- Liaise with cross-functional teams, including Projects, Operations, Finance and Business Development, to drive efficient and effective execution of key projects.
- Provide administrative support, including calendar management, scheduling meetings, and handling communication on behalf of the Team.
- Maintain confidentiality and professionalism while handling sensitive information and high-level interactions.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Engineering, Business Administration, Entrepreneurship, Marketing, or a related field.
- Strong passion for entrepreneurship, retail innovation, and the startup ecosystem.
- Excellent research, analytical, and problem-solving skills.
- Exceptional written and verbal communication abilities.
- Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
- Highly organized with a keen eye for detail and the ability to manage multiple tasks simultaneously.
- Self-motivated, proactive, and able to work independently as well as collaboratively in a fast-paced environment.
- Professional demeanor, strong interpersonal skills, and the ability to interact with individuals at all levels.
- Prior internship experience in a startup, entrepreneurship, or business-related role is a plus.
About LiteStore
About
Similar jobs
Skills Required:
- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills
We are looking for someone with good communication skills and okay with sales and operations. As of now, this will be 70% sales and 30% operations.
Key responsibilities:
1. Promoting and selling memberships to potential new clients (walk-ins/trials)
2. Working on achieving the target by driving conversions
3. Working on upselling
4. Maintaining a record of every interaction with new users
5. Working on entering all the details of customers and walk-ins in internal tools
6. Managing the center experience and incremental enhancements
7. Handling the timely opening and closing of the center
8. Working on inventory management
Note:
1. Role name: Associate Center Manager
2. CTC: 3 LPA fixed
3. Number of working days: 6
4. Week off: 1 (rotational)
5. Shift timings: split shift (5:30 am to 10 am, break, 5 pm to 10 pm)
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities for Data Engineer
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
• Experience building and optimizing big data ETL pipelines, architectures and data sets.
• Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
• A successful history of manipulating, processing and extracting value from large disconnected
datasets.
Designation: SAP SD Consultant
Experience: 4-10 years
Location: Chennai, Coimbatore, Bhubaneswar
Job description
1. SAP SD(Sales and Distribution) - HANA Sales of S/4 HANA
2. O2C(Order To Cash ) business process expertise,
3. SAP SD Implementation/Support/Development project expertise.
4. Exposure to SAP SD configurations (O2C processes, Pricing Procedure, Revenue account determination, Credit Management, Rebate Processing, Batch Management, Consignment, Stock transport orders)
5. S/4 Migration/Implementation/AMS experience
6. SAP Activate, ITSM Tools, SAP Release Management, Agile MethodologyJob Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
-
Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
Postgress developer cum database architect
5-7 years experience
Knowledge and experience, specifically PostGre
- SQL
- Query Optimization / Optimization strategies (in PostGre)
- AWS - RDS Relational Databse Service
- Optional: AWS – RDS API / PostGre API
- Working alongside other engineers and developers, collaborating on the various layers of the infrastructure for our platform, application, etc.
- Designing and building applications for Apple devices on the iOS platform.
- Maintaining quality and ensuring responsiveness of applications.
- Collaborating with the rest of the engineering team to design and launch new features.
- Maintaining code integrity and organization.
Desired Candidate Profile
What you need to have:- BE/ ME/ BCA/ MCA- Any Computer/ IT Degree
- Be proficient with Objective-C / Swift {depending on project requirements}, and Cocoa Touch.
- Experience with iOS frameworks such as Core Data, Core Animation, as well as offline storage, threading, and performance tuning
- Must be familiar with RESTful APIs to connect iOS applications to back-end services
- Experience with performance and memory tuning with tools - such as Instruments and Shark, depending on project needs
- Experience with cloud message APIs and usage of push notifications.
- Knowledge of code versioning tools {such as Git, Mercurial or SVN}.
Work Location: Hyderabad
Experience:3 to 5 Years
Package:Upto 10 LPA
Product Based Company
Notice Period:Immediate Joiners.
Its a Full Time Opportunity with Our Client
Mandatory Skills: Sterling SI B2B,EDI,ANSI X12/EDIFACT,XML & Sterling B2B Integrator (SI)
Job Description:
•Over 3 -5 years of work experience in Sterling SI B2B version 5.2.6 and above.
•Build and configure Sterling B2B integrator.
•Proficiency on B2B/EDI concepts, ANSI X12/EDIFACT standards.
•Thorough understanding and hands on experience with XML, Schema, XPATH and XML parsers is required.
•Good understanding of flat, csv data processing.
•Understand trading partners onboarding process.
•Experience in IBM Sterling SI Map Editor and Business Processes development.
•Proficient in various EDI transactions related to Retail Energy flow like 814, 810, 867,820, 568, 997 etc.
•Knowledge of various connectivity protocols like FTP, SFTP, AS2, HTTP protocols etc.
•Experience in Mapping various formats like X12 to XML, Flat files to XML and vice-versa.
•Should be able to understand and create mapping specifications/layouts.
•Good in Business Process development or troubleshooting, have good knowledge and understanding on adapters and services configuration/development.
•Architecture design and development in EDI, standard document and communication protocols, utilizing Sterling B2B Integrator (SI).
•Experience using NAESB and GISB protocol will be advantage.
•Experience using any type of Framework on top of SI will be advantage.
•Experience of using EDI systems installed on Linux/Unix platform.
•Good understanding of cloud platforms like MS Azure, AWS.