Senior UIUX Designer

 

 

• Translate functional requirements into technical requirements
• Design and build high-performance, reusable, and reliable Apex code with best practices
• Use Salesforce APIs to integrate Salesforce with other tools and third-party applications
• Write coding solutions using key Salesforce core programing languages (Apex,

Visualforce, Lightning Web Components, HTML, XML, JavaScript, CSS, AJAX, SOQL, RestAPIs)

• Use Salesforce APIs to integrate Salesforce with other tools and third-party applications
• You have a strong understanding of workflow, process builder and flows
• Experience with CI/CD and deployment techniques in Salesforce
• Possess an expert level of knowledge of a CRM Sales and Customer Service functionality and integrations to external systems
• Experience with Security Model in Salesforce
• Hands-on Experience of Data Migration in Salesforce
• Experience with key areas of enterprise architecture, including integration technologies, single sign on
• Be flexible with changing priorities and comfortable working independently

 

• Manage heavy workloads and projects, many on a time-sensitive basis while still maintaining accuracy and strong attention to detail
• Identify bugs and align with requirements during debugging
• Write test classes for the class that you develop and ensure more than 80% code coverage
• Test bug fixes to make sure they work as per requirements, then deploy them to production

Responsibilities:
Interacting with the clients and coordinating with other stake-holders
Requirement gathering
Write “clean”, well-designed code
Produce detailed specifications of the product/solution
Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
Requirements:
Prior experience in PHP is required.
Understanding of open source projects like Joomla, Drupal, Wikis, etc
Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX etc
Good knowledge of relational databases, version control tools and of developing web services
Experience in common third-party APIs (Google, Facebook, Ebay, CMS, Web solutions, SaaS productsetc)
Any prior development experience of any SaaS products would be an added advantage
Understanding of marketing automation tools like HubSpot, Marketo, Salesforce etc. would be a great fitment for this position

• Job Title:- Microsoft Tech Developer
• Job Location:- CG Road, Ahmedabad(Mobile and flexible), WFH is available, sometime you have to come attend business meetings
• Desired Skills:- ASP.Net, C#, Database Design, MySQL, MSSQL, Bootstrap, SQL Server

 

 

Job Description

 

Responsibilities:-

 

• To understand the specifications and programmed it.
• To articulate unit test case and unit test the programmer
• Producing clean, efficient code based on specifications.
• Verify and deploy programs and systems.
• Gather and evaluate user feedback.
• Recommend and execute improvements.

 

Job Requirement:-

 

• Experience in Microsoft ASP, C#, SQL server, and github.
• Experience with software design and development in a test-driven environment.
• Experience with databases.
• Ability to learn new languages and technologies.
• Good communication skills.

 

Who can Apply:-

 

Education:- No bar

Experience:- Good to have:-BFSI domain and professional certification

About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.

Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.

How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!

What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.

Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.

We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).

Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.

Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

If you can write clean code and build scalable software.