Account Manager

Store Manager (Apparel Industry)

Experience- 3yrs- 5 yrs

CTC- 5.4 LPA Max

Location- Hyderabad

Notice Period- 15 Days Max

Responsibilities

• Oversee daily store operations and ensure smooth functioning.
• Manage and motivate store staff to meet and exceed sales goals.
• Ensure high standards of visual merchandising and store presentation.
• Monitor inventory levels and coordinate with suppliers.
• Handle customer inquiries, complaints, and provide satisfactory resolutions.
• Analyze sales metrics and prepare performance reports.
• Implement store policies and procedures.

Qualifications

• Bachelor's degree in Retail Management, Business Administration, or related field.
• Proven experience as a store manager or in a similar retail management role.
• Strong leadership and team management skills.
• Excellent communication and interpersonal abilities.
• Familiarity with retail management software and POS systems.
• Customer-focused mindset with problem-solving capabilities.

Skills

• Leadership
• Sales
• Customer Service
• Inventory Management
• Visual Merchandising
• Retail Management Software
• POS Systems
• Communication

We are seeking a skilled MERN Stack Developer to join our dynamic development team. The ideal candidate will be proficient in MongoDB, Express.js, React.js, and Node.js, and will play a key role in building and maintaining web applications.

Key Responsibilities:

• Frontend Development: Develop user-facing features using React.js, ensuring appealing and responsive user interfaces.

• Backend Development: Build efficient and scalable server-side systems using Node.js and Express.js.

• Integration: Integrate front-end components with server-side logic, ensuring seamless communication between the two.

• Data Management: Implement data storage solutions using MongoDB and other relevant technologies.

• Troubleshooting: Identify and address bugs, glitches, and performance issues to maintain application functionality.

• Collaboration: Work closely with cross-functional teams to conceptualize, define, and implement new features.

• Innovation: Keep abreast of emerging technologies and trends to contribute to continuous improvement.

Required Skills and Qualifications:

• React Proficiency: In-depth knowledge of React.js and its core concepts for building dynamic user interfaces.

• Node.js and Express: Strong expertise in Node.js and Express.js to create efficient and scalable backend systems.

• MongoDB: Experience with MongoDB for data storage and management.

• Full-Stack Development: Ability to work on both frontend and backend development.

• Problem-Solving: Strong analytical and problem-solving skills.

• Communication: Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience with RESTful APIs and GraphQL.

• Familiarity with version control systems like Git.

• Understanding of Agile methodologies.

About the Role

We are seeking a passionate and skilled Java + Kotlin Developer to join our growing engineering team. You’ll be responsible for building scalable backend systems and modern Kotlin-based applications, with opportunities to work on both Android and server-side development.

What You'll Do

• Develop and maintain robust backend services using Java and Spring Boot
• Design and implement modern applications using Kotlin (Android or Multiplatform)
• Work on APIs, microservices, and system integrations
• Collaborate with cross-functional teams in an Agile environment
• Write clean, maintainable, and testable code

Key Requirements

• 3+ years of hands-on experience with Java and Kotlin
• Strong grasp of Spring Boot, REST APIs, and microservices architecture
• Experience with Android Development or Kotlin on JVM
• Familiar with Git, Gradle, and CI/CD tools
• Bonus: Experience with Jetpack Compose, Kotlin Coroutines, or Kotlin Multiplatform

Good to Have

• Familiarity with cloud platforms like AWS / GCP
• Knowledge of Docker, Kubernetes, or DevOps practices
• Previous experience in a startup or fast-paced product environment

Required skills:-

2+ years of experience in the Development of JAVA technology.

Strong Java Basics

SpringBoot or Spring MVC

Hands-on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)

Proficient in REST API development

Messaging Queue (RabitMQ or Kafka)

Microservices

Any Caching Mechanism

Good at problem-solving

Good to Have Skills:

2+ years of experience in using Java/J2EE tech stacks

Good understanding of data structures and algorithms.

Excellent analytical and problem solving skills.

Ability to work in a fast-paced internet start-up environment.

Experience in technical mentorship/coaching is highly desirable.

Understanding of AI/ML algorithms is a plus.

Business Development Manager Responsibilities:

• Familiarising yourself with all products and services offered by our company
• Procuring new clients through direct contact, word-of-mouth, and collaboration with the marketing department
• Attending networking activities to research and connect with prospective clients
• Maintaining meaningful relationships with existing clients to ensure that they are retained
• Suggesting upgrades or added products and services that may be of interest to clients
• Crafting business proposals and contracts to draw in more revenue from clients
• Negotiating with clients to secure the most attractive prices
• Equipping staff with the technical and social skills needed to enhance sales
• Reviewing clients' feedback and implementing necessary changes
• Remaining in tune with trends in consumption to ensure that our offerings remain relevant

         Business Development Manager Requirements: 

• Degree in marketing, business administration, or similar.
• 2+ years of experience
• Intuitive and insightful, particularly regarding human behaviour
• Ability to generate revenue by identifying pain points and suggesting suitable products or services
• Professional yet affable disposition
• Neat, well-groomed appearance
• Great networking skills
• Excellent written and verbal communication
• Resourceful, with outstanding research skills
• Emboldened by challenges

       Notes:

• The role is for international market
• Prior experience in Digital Marketing would be a bonus
• The company has US based operations

       Location : Noida .

    Hope you Reply as soon.

Experience: 6 to 10 Years

Must have:

• Experience in leading teams and handling communication among engineers and product managers,and have worked with mobile teams and product teams.
• Experience working on RFC documentation.
• Experience in architecting the software, estimating tasks, breaking down into subtasks, prioritizing tasks as per need, and timely delivery.

Responsibilities:

• Designing and developing mobile-first applications.
• Creating and maintaining clean and clear front-end code and backend APIs for our web and mobile applications.
• Automation and Deployments of builds - Frontend and Backend.
• Application Performance And Error Monitoring and Automation
• Maintaining excellent test coverage for our code base.
• Follow best practices while reviewing pull requests
• Working with our shared services and field teams to identify application bottlenecks and make relevant architectural decisions.
• Working with our front-end application developers to optimize performance across our system.
• Designing administrative tools for our shared services and business development teams
• Constantly optimizing our code bases with an eye for modularity and legibility.
• Writing documentation for our external and internal APIs.

Requirements:

• Strong understanding of RESTful JSON web API design principles.
• Demonstrable experience with NodeJS, Express. JS, PostgreSQL, MongoDB
• Familiarity with popular NodeJS packages (e. g. express, socket-io).
• Must have experience with test driven development(TDD).
• Experience in JavaScript development.
• Experience in backend web development.
• Containerisation experience working with Docker/ Kubernetes/ Docker Swarm
• Familiarity with multiple additional programming languages/stacks.
• Experience with NoSQL databases, ideally MongoDB.
• Experience with RDBMS databases like MySQL/PostgreSQL.
• An excellent understanding of distributed systems and their tradeoffs.
• Excellent documentation skills.
• Ability to clearly articulate technical problems, design and implementation choices to a broad range of stakeholders (e. g. sales team, users, security experts).
• Experience working with web sockets.
• Familiarity with the AWS stack.
• Experience in application security testing.
• Familiarity with client-side JavaScript frameworks and best practices.
• Familiarity with CI/CD Pipeline.
• Contributions to open source communities.

Perks and Benefits

• Work from anywhere
• Competitive salary and bonus program
• Annual company retreats to fantastic places
• Unlimited Vacation Policy
• Great healthcare coverage
• Professional development allowance
• Internet Allowance
• Customised CMMversary rewards on your 1,3,5,7 and 10-year work anniversaries
• Career Enablement – We meld your upskilling initiatives with organization’s strategic planning
• Take your Birthday Off

• Strong knowledge of PHP for backend work (3+ years’ experience)
• Experience with an MVC framework (CakePHP, Laravel, Symfony, CodeIgniter, etc.)
• Strong knowledge of Javascript, HTML, CSS and related tools/packages (3+ years’ experience),
• Strong knowledge of MySQL (3+ years’ experience)
• Knowledge of React
• Though not required, experience with Python, Golang, DynamoDB, Elasticsearch.
• Strong English skills (written and verbal)

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning