Hello! If you truly love and enjoy social media, we want you! We are looking for a creative and fun social media manager who can help us create brand awareness for our clients. Here’s what you’ll do if you end up being a part of our team:
- 🤔 Research and build strategies: You will assist the Marketing team in understanding the brand’s needs to come up with a plan and direction for their social media.
- 💡Ideation: Based on the strategy, you’ll help ideate campaigns for platforms like Instagram, Twitter, LinkedIn and Facebook.
- ✍️ Writing and Editing: Writing crisp, clear, and witty posts and captions.
- 👩🏻💻 Creating and Publishing: Help design posts or edit templates on Canva and schedule them for posting.
- 👀📱 Looking out for trends: Being mindful of what’s happening in the world and using it to create brand awareness.
- 🧐 Analysis: Help us reflect on the growth we have on each platform every month.
If you:
- Find this interesting and are over 18 years of age
- Know English and Hindi fluently
- Love social media or can tolerate it enough to create for social media
- Love to write and know how to use Grammarly well
- Know how to use Excel, Word, Google Docs, Canva, Figma (and all social media platforms)
- Have a laptop, phone and an internet connection
- Are curious about trends and willing to learn on the go
- Have a minimum of 1 yr of experience in creating content and handling Social Media
Then we’d love to meet you! Please apply :)
What we’ll offer:
- A competitive salary.
- Remote work. Work in your shorts, we don’t mind.
- Lesser meetings. This meeting could have been an email said no one ever at our workplace.
- A learning space. We’ll help you learn and navigate the basics of marketing from building strategy to delivering results.
- Open communication and great conversations. There’s no hierarchy of communication or gatekeeping of creative ideas. If you have something to share, just call/text/mail, whatever you like.
About Studio Mesmer
Similar jobs
Opportunity
We are looking for a Product Marketer who’ll lead all our marketing activities from social media and digital campaigns to advertising and creative projects.
Product marketer responsibilities include developing plans to help establish our brand, allocating resources to different projects and setting short-term and long-term department goals. If you’re a skilled Marketing strategist, able to inspire your team members, we’d like to meet you.
Ultimately, you will run our Marketing department in ways that promote higher profitability and competitiveness.
Responsibilities
- Craft strategies for all Marketing teams, including Digital, Advertising, Communications and Creative
- Prepare and manage monthly, quarterly and annual budgets for the Marketing department
- Set, monitor and report on team goals
- Design branding, positioning and pricing strategies
- Ensure our brand message is strong and consistent across all channels and marketing efforts (like events, email campaigns, web pages and promotional material)
- Analyze consumer behavior and determine customer personas
- Identify opportunities to reach new market segments and expand market share
- Craft quarterly and annual hiring plans
- Monitor competition (acquisitions, pricing changes and new products and features)
- Coordinate sales and marketing efforts to boost brand awareness
- Participate in the quarterly and annual planning of company objectives
What you can expect in the next 12 months
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- Getting the business Requirement document from functional consultant / functional analyst.
- Analyse the business Requirement.
- Analyse the estimated time for development.
- Development of Object (ABAP application).
- Unit Testing by Developer.
- Releasing the object to test environment.
- Prepare technical document of the development.
SAP S4HANA Solution Architect
Remote
Qualifications
- Should have experience on at least 3 projects as Solution Architect
- 15 years’ experience in SAP implementations across various SAP ECC , R/3
- At least 2 years' experience in S4 HANA EWM
- Solution architecture SAP experience across multiple end-to-end (E2E) business processes
- Good experience in understanding the MM and EWM business process procedures and mapping into SAP, finding the gaps
- Excellent functional knowledge in Stores / Warehouse Management , BIN Management, Rack Management ,Storage Bins, Bin types , Storage unit types ,Put away, Picking Strategy configuration for the storage types , Mobile Data Entry(RF management) ,EWM master data and Transaction Data management and Master data setup for the Warehouses like Warehouse no, Storage types, Storage Section
- Experience in cross application business process modeling and integration with SAP and non-SAP solutions
- Understand and have knowledge to integrate add on solutions and other SAP Modules such as SD , FICO
- Should be proficient in conversation on wide ranging supply chain topics with senior management C level leaders.
- Should have working experience in project estimation, project planning , staffing.
- Must be capable of functioning with only limited oversight.
- Strong verbal and written communications skills and the ability to work effectively internally and externally.
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
We are looking for Backend Developer to join our team. Fieldproxy is the first of its kind product in the space - and we are looking for out of the box thinkers with original thought process and lateral thinking. The code you ship will be used by thousands of users every day helping them get their work done. You will join a young, dynamic and fast-paced environment, work with cross-functional teams to design, build, and roll out products that deliver the company's vision and strategy.
Responsibilities :
- Backend development with Nodejs, MongoDb and Typescript.
- Developing and testing flexible, scalable applications.
- Collaborate with Front end developers to produce optimum output.
- Think out of the box, discuss and implement your own ideas over the phase.
Required skills :
- Strong knowledge in creating RESTFUL APIs
- Proficient understanding of code versioning tools: Git.
- Good knowledge of Docker & Shell scripting
- Experience in DevOps is an added advantage.
Job description
Responsibilities and Duties:
· Use a variety of languages in order to create user-friendly web pages
· Define visual interfaces that adhere to and extend wireframes and specifications
· Build, maintain and improve company and client websites
· Work in a creative environment with a team of other professionals
· Optimize web applications for maximum speed, usability, and accessibility
· Actively seek to understand business requirements to develop solutions
· Keep up to date on the latest and emerging technologies as it relates to the position
· Use strong problem-solving skills with the drive to find solutions prior to escalation
Desired Candidate Profile
· At least 4-7 years of experience as a Web Developer
· Proficiency with HTML5, CSS3, Sass or LESS, Bootstrap 4, jQuery, JavaScript.
· Translate UI/UX design to actual code
· Person have basic knowledge of Adobe Photoshop.
· Person should be in good practices to develop clean, short and optimized html/css code.
· Basic Knowledge of Backend framework (Laravel, Codeigniter, etc) to work on view part
· Understanding of version control (GitHub, bitbucket, SVN)
· Proficient in Optimize Website for maximum speed and scalability
· Person should have expert in Responsive website designing.
· Must have expertise to make SEO compatible html codes.
· Strong critical thinking, troubleshooting and problem-solving skills
· Sense of ownership and pride in your performance and its impact on success
· A positive and friendly attitude
· Good time-management skills
· Great interpersonal and communication skills
platform, which is experiencing accelerated growth. It is crucial not only to
Chumbak’s own success, but also to the success of our customers. You'll be
instrumental in architecting, building, operating, and optimizing the code and
infrastructure that powers the Chumbak e-commerce platform, user
experience, analytics and more. You'll champion new features and
improvements that deliver tremendous value and customer delight while also
reducing technical debt through all phases of the software development
lifecycle. You’ll have the unique opportunity to help us to build the teams,
shape the culture, develop a center of excellence and establish a strong brand.
As a full stack developer, your role would be to (Roles & Responsibilities):
- Design and develop highly scalable, reliable, and fault-tolerant systems
and scalable application components and perform system designs within
the scope of the team to fulfil both functional and non-functional
requirement
- Build the connecting components that integrates with any 3rd party
application for customers as well as for internal purposes
- Interface with the backend team to build requisite APIs for integration
- Build test plans and implement a vigorous testing process
- Be involved in strategic decisions involving both front-end and back-end
development
- Be ready to wear multiple hats as the requirement changes on time to
time
- Involve in all decisions related to Application architecture and component
development
- Proactively manage stakeholder communication (external and internal)
related to deliverables, risks, changes, and dependencies.
Should have:
- At least 5 years of relevant experience. Hands on in any object oriented
or functional programming language i.e. Python, Ruby etc
- Commanding knowledge in HTML, CSSS, JS frameworks – React.js, Angular,
- Experience in writing modular code following architectural patterns and have a deep understanding of front-end architecture and data-driven development
- Ability to work with designers to develop dynamic user experiences
- Experience designing and building production-level web applications
- Excellent debugging skills; able to debug complex technical issues
involving multiple system components.
- Experience with various architectural evolutions, identifying systemic
bottlenecks and optimizing for performance
- Problem solving capability and strong analytical thinking on complex
business use cases
- Able to have a strong impact while working independently or in a team
- Able to lead the engineering team and Effectively mentor team members
to help them unleash their full potential
- Hands on experience in AWS devops and basic knowledge of cloud infra architecture
And if you've got some of these skills, even better:
- Hands on experience working with or building e-commerce products or platforms
- Experience monitoring and operating a production-level service
- Excitement about the latest trends in application design
- Experience with agile software development methodologies like Kanban or Scrum
- Experience in integration projects including Microsoft ERP (AX Dynamics) is a plus
Desired Experience and Skills
- Education: BTech/BE/Masters