Key responsibility areas of a Sr. Copywriter:
1. Develop content ideas and strategies for assigned brands
2. Ensure the smooth execution of content strategies
3. Create high-quality and engaging copies for digital platforms
4. Ensure the content aligns with the brand voice and messaging strategy
5. Develop and implement effective copywriting strategies to meet client objectives and campaign goals
6. Coordinate internally and externally for project completion
7. Conduct research and gather information for existing and new projects
8. Develop content guidelines for all assigned brands
9. Set processes for smooth workflow and adherence to existing structures

About Flora Fountain
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Key Responsibilities
- Assist in the installation, configuration, and maintenance of network hardware and software.
- Support and troubleshoot LAN/WAN networks, routers, switches, and firewalls.
- Monitor network performance and ensure system availability and reliability.
- Collaborate with senior engineers to implement network solutions and upgrades.
- Maintain documentation of network configurations, diagrams, and procedures.
- Provide first-level support for network-related incidents and service requests.
- Assist in performing network security assessments and implementing best practices.
- Participate in network capacity planning and performance tuning.
- Support network-related aspects of IT projects and deployments.
Qualifications
- Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Certification: Valid CCNA (Cisco Certified Network Associate) is mandatory.
- Experience: 2-4 years of experience in network administration or support roles.
- Strong understanding of networking fundamentals including TCP/IP, DNS, DHCP, routing and switching.
- Familiarity with Cisco IOS and command-line interface (CLI).
- Basic understanding of network security concepts and firewalls.
- Excellent troubleshooting and analytical skills.
Key Responsibilities:
1. Threat Research: Work on researching emerging cyber threats specifically. You will monitor threat actor activities, study their tactics, techniques, and procedures (TTPs), and help identify potential risks.
2. Alert Triage and Incident Analysis: Support the analysis of security alerts generated by our in-house platform. You will work alongside the team to identify critical issues and provide timely
intelligence to help mitigate threats.
3. Data Collection and OSINT: Assist in gathering and analyzing data using Open Source Intelligence (OSINT) methodologies. You will help collect relevant information to support ongoing threat investigations.
4. Report Preparation: Contribute to the preparation of threat intelligence reports for internal and external stakeholders. You will learn how to convey complex technical information in a clear and
actionable manner.
5. SOP Development: Collaborate with the team to develop and refine Standard Operating Procedures (SOPs) for systematic threat analysis. Your input will help ensure that our procedures are efficient and scalable.
6. Cross-functional Collaboration: Work closely with various teams, including product development and data acquisition, to support the integration of new intelligence sources and improve the effectiveness of our threat intelligence platform.
Key Qualifications:
Educational Background: Completed a degree in Cybersecurity, Computer Science, Information Technology, or a related field.
Basic Knowledge of Cybersecurity: A foundational understanding of cybersecurity concepts, including web application security, threat analysis, and vulnerability assessment.
Familiarity with OSINT: Basic knowledge of Open Source Intelligence (OSINT) tools and methodologies for data collection.
Technical Skills: Familiarity with scripting languages such as Python, Ruby, or GO is a plus.
Experience with automation and data analysis tools will be advantageous.
Communication Skills: Strong written and verbal communication skills, with the ability to learn how to convey technical findings effectively.
Problem-Solving and Adaptability: A proactive attitude with strong problem-solving skills. You should be comfortable learning in a fast-paced and dynamic environment.
Additional Skills:
Interest in Cybersecurity Challenges: Participation in bug bounty programs, Capture The Flag (CTF) challenges, or cybersecurity competitions is a plus.
Willingness to Learn: A keen interest in developing skills in threat intelligence, threat actor profiling, and behavioral analysis.
SUMMARY OF THE POSITION:
Product Development Engineer is responsible for front end development of modules of enliven CEM.
The engineer is responsible for end to end delivery of specific components in the module and integrate them with existing modules
ROLES AND RESPONSIBILITIES:
- Working with technical architects, able to convert the architecture into design and code in Java (Spring Boot), AngularJS, and NodeJS.
- Able to generate LLD documents.
- Ability to write Quality code with minimum defects.
- Unit Test and following the coding standards.
PREFERRED QUALIFICATION AND SKILLS:
- 5+ years strong programming and logical skills in Java (Spring Boot), AngularJS, Object Oriented Java script, NodeJS and HTML5
- Hands on Experience on Java (Spring Boot), and MySQL is mandatory. Must have completed at least 2 full projects using Spring boot and AngularJS.
- Excellent knowledge and experience in Spring JPA, RESTful web services implementation.
- NodeJS experience is value add
- Should have participated in, and be familiar with, Agile (Scrum) project methodology and practices.
- Must be able to mentor and guide junior technical resources.
- One who is proactive and comes forward with technology related initiatives. Motivated selfstarter.
- Good Communication skills. English - Oral and Written.
Industry: IT Software
Experience: 1-3 yrs.
Title: Dotnet Developer
Location: Indore (MP)
Job type: Full Time
Position Type: Permanent
Visit us: http://www.processmaster.in">www.processmaster.in
Requirements
- Dynamic Engineers / Graduate and Post Graduates in CS/IT stream.
- Extremely fluent in C# .net frame works (4.0/4.5), SQL Server 2014, ADO .net, LINQ/Entity Framework, Win-forms, XML, WCF/WPF
- Experience in database design, functional design
- Effective Problem solving skills while dealing with tough scenarios during development phase.
- Excellent communication skills and quick learner of new technology
- Maintaining and supporting multiple projects and deadlines
- Prior experience in windows application or ERP Products
- Experience in MVC Architecture would be an added advantage
Responsibilities
- Participating in detail level of coding, code walk through and unit testing of development of windows application.
- Research and Evaluate Software related technologies and product
- Participating in generating technical documentation of product and package
- Maintain existing software systems by identifying and correcting software defects
- Will be responsible for completing the project in timeline
- Candidate should enjoy working in challenging environment and have enthusiasm and ambition to develop and complete the projects to highest standards.
Career Advancements
- Job with growth opportunities within a stable B2B company
- Pleasant working environment with motivated people
- Extra Benefits
Our client is more than 2 decades old NBFC registered with the RBI. The company was set up with an aim to empower rural entrepreneurs, SMEs, and small institutions by micro-financing. The company has come a long way since its inception in 1992 and has evolved with time with the introduction of its App in the small loans sector. At present, the company has more than 5000 employees and has serviced millions of borrowers to accomplish their dreams.
The group has diversified into the education segment and is running two schools. The schools are part of one of the largest private school chains in India. The schools have a flourishing family of 350 teachers and 6500 students. The leadership team at the helm of the company has demonstrable experience in financial services and has built the company by upholding the trust of its customers.
What you will do:
- Understanding the customer’s requirements and suggesting appropriate products (savings account, loan account etc.)
- Assessing prospective customer’s financial status (income, dependents etc.) and current trend of cash flows
- Suggesting appropriate products according to life-cycle needs and income
- Informing the prospective customer regarding application process, product terms and conditions etc
- Explaining to the prospective customer, the terms and conditions of product, application procedure, documents required and timelines for processing the application
- Responding to all queries and concerns regarding products and application process
- Discussing and setting revenue targets with the senior management
- Generating reports on targets achieved
Desired Candidate Profile
What you need to have:- 5 to 6 years of experience in sales and marketing
- MBA (Finance) or equivalent from Tier 1 college
- Prior experience in banking or other financial institutions
- Hands on experience in business correspondent operation
- Problem solver
- 3-5 years of experience in Native Android App development (Preferably for a B2C Product)
- Proficiency in various algorithms and data structures.
- Familiar with Kotlin/Java language, and experience with Object-Oriented Design.
- Strong experience with REST APIs, storage databases, Multi-threading, performance and memory tuning.
- Good knowledge of architectural patterns such as MVP and MVVM.
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 a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
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.










