Background Verification

Qualifications:

• M Tech/ B Tech/ BE/ MCA/ MS in Computer Science, Information Technology, or equivalent.

• The degree must be obtained through a regular on-campus program from a recognized university.

• Proven experience as a .NET Developer with 4-9 years of relevant work experience.

• Strong proficiency in Dot Net and MVC architecture.

• Experience with MySQL database management.

• Knowledge of front-end technologies such as HTML, CSS, and JavaScript.

Dear Job Seekers,

Greetings from Prabal Information Systems LLP.

We at Prabal Information Systems LLP have a fortune of 100 clients as our clientele. We are in the process of enhancing the team that delivers solutions in the automotive and marketplace segments. We are sure that this position will excite you and provide the necessary career growth you aspire to. 

Job Brief :

We are looking for a Senior .NET Developer to join our IT department and build functional applications and websites.

Senior .NET Developer responsibilities include participating in the entire software development life cycle, debugging applications and configuring existing systems. If you’re equally happy to roll up your sleeves to write code and review other team members’ work, we’d like to meet you.

Ultimately, you’ll use your expertise in the .NET framework to help us deploy high-quality applications.

Responsibilities :

• Analyze system requirements and prioritize tasks

• Write clean, testable code using .NET programming languages

• Develop technical specifications and architecture

• Test and debug various .NET applications

• Experience with Asp.net, MVC(Mandatory) Web api etc

• Experience in Sql Server

• Review and refactor code

• Deploy fully functional applications

• Upgrade existing programs

• Support junior developers’ work

• Document development and operational procedures

Requirements and skills

• Work experience as a .NET Developer

• Proficiency in building web-based applications

• In-depth knowledge of at least one of the .NET languages (like C# and Visual Basic . NET)

• Familiarity with agile environments

• Troubleshooting abilities

• Good communication skills

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

Join us in making the fastest fashion brand on earth. We live & breathe trends. Working on 3D Virtual Design Technology we launch new trends even before they're produced. Making us the only fast fashion brand to be sustainable at the same time. Enabling young shoppers, first-hand access to latest styles with our Digital Only Collection.

We waste nothing but data & exploit nothing but our imagination. We operate at the intersection of fashion & technology. #SpeakSomethingNew is our mantra.

We're looking for a production ninja who can look after order management, production and sourcing. We don't hire many. A small, highly passionate team working to redefine fashion. Apply only if you can execute at breakneck speed, can handle stress, highly passionate about fashion-tech.

Job Description:
Requirements

Daily report to the Directors with the daily schedule execution plan.

Overseeing the production process

Ensuring the overall production is cost effective & meeting quality standards.

Drawing up a production schedule keeping the TAT in mind.

Working out the human and material resources needed

Being responsible for the selection and timely maintenance of equipment.

Looking after job works / team (such as printing, embroidery) and taking decisions on selection vendors for job work.

Supervising and motivating a team of workers

Identify training needed, if any.

Managing stock control and inventory checks of raw materials and finished goods.

Processing & Managing E-commerce portal. Which includes managing day-to-day order processing.

Managing order, delivery partner dashboards. Generating shipping labels and tracking dispatches.

Handling customer requests of exchange and returns.

Coordinate customer operations to track exceptions. Keep a record of customer interaction, transaction, comments, and complaints

Desired Candidate Profile:

• Candidate from the Garment /fashion industry is surely required.

• Sound knowledge of Mens Wear Cutting & stitching

• Should have excellent leadership, administrative, interpersonal and relationship management skills.

• Good communication skills

Skills and Interests:

Must be able to multitask

Have a certain amount of professionalism

Be able to manage time and people efficiently

Be willing to adapt and collaborate with factory environment

Have garment production and planning management experience

Be able to prepare reports and plan

Able to work under pressure

Good at managing budgets

Have good communication and presentation skills

Have a positive attitude to work and be able to motivate a team