UI/UX Designer

Company link: https://www.catalystmi.com/" target="_blank">https://www.catalystmi.com/

 

Job Location: Mumbai (Hybrid)

 

Python/Django Developer will be responsible for implementing the relevant Server-Side Architecture for a Web Application based on the client's requirement for new and existing products. The primary focus will be on the development of software packages ensuring high quality and ease of usability to requests from various teams.

Duties & Responsibilities:

- Writing reusable, testable and efficient code 

 

- Design and Implementation of low-latency, user-friendly web and mobile-based applications 

 

- Devise and develop user-friendly software solutions for automation of industry processes 

 

- Contribute to design reviews and discussions across software teams. 

 

- Following strict security protocols without any deviation is of prime importance.

 

- Implementing DevOps in all projects and establishing best practices in the team.

Preferred Skills & Knowledge:

- Strong programming skills in Python/Django

- Experience with Angular, JavaScript frameworks/libraries

- Hands-on experience with MySQL, PostgreSQL or other RDBMS

- Experience with Web application security and secure coding practices

- Strong Analytical thinking and problem-solving ability

- Familiarity with software collaboration tools - GIT

- Ability to work with a distributed and diverse team of researchers and developers.

- Excellent English language communication skills, both written and verbal.

- High level of innovation and motivation

• Content writing for various social media platforms, primarily LinkedIn and Twitter.
• Writing and editing articles and success stories, conducting interviews as necessary.
• Generating, researching, and pitching ideas for content
• Asking effective questions and developing rapport/trust with story subjects.
• Storyboarding: understanding the effectiveness and appropriateness of story assets (text, images, audio, video) and combining them to build a robust story.
• Converting conversation pointers into a strong storyline.
• Creating content marketing strategies from scratch and taking ownership on end-to-end execution.
• Visual, audio and video content creation experience; Know how of basic video editing, photo editing tools
• Well-developed eye/ear for best practices in each format of content.
• Work closely with core team and regular interaction with founder.

• Understanding of story fundamentals (effective character, trajectory, hook, authenticity/details and calls-to-action)
• Keen sense of storytelling (what makes a story interesting from the audience’s perspective)
• Stellar writing skills and sense of conveying more in less words.
• Familiarity with tech lingo & Games
• LinkedIn & Twitter native writing style.
• Confidence in picking up conversation with story subjects (students, founders, CXOs, investors, other stakeholders)
• Street smart (gives equal weightage to hard work and smart work)
• Self-learning and self-initiating attitude with attention to detail.

• Past experience in Gaming industry. (Internship/full-time)
• Know how of Airtable, Notion, G Suite, Canva, and a few no-code tools.
• Experience in cold mailing, cold reach out copywriting.
• Strong hold on any one social media platform: LinkedIn, Twitter, Youtube.
• Know how of scaling a social media handle from 1 to 100 and starting from 0 to 1.

• You’ll be working in a fast paced startup with a small team.
• You’ll be scaling experiments, operations from 1 to 10.
• You’ll experience Content led growth.
• We are a well funded start-up with renowned investors.
• We’re tackling a big problem with an even bigger potential to become a launchpad for the global game industry.
• Not to forget, we go on workations, our first one was in Himachal Pradesh in 2021 🏔 second in Bangalore in April’22 🏖 and well, next is a surprise!

This role comes with:

✔️ Competitive Salary

✔️ Annual Bonus

✔️ Flexible Leave Policy: We don't track leaves!

91 Springboard, Jhandewalan, New Delhi

Company Profile
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.

• Liaising with clients to identify specific business problems and develop ideas
• Communicating with colleagues within the agency, such as creatives and account managers, in the process of developing a campaign
• Gaining a comprehensive context for advertising strategies by analysing a wide range of information in detail, including demographics, socio-economic and the market for the client's product and market share;
• Commissioning research from outside organisations to inform advertising strategies, using both qualitative methods, such as focus groups and structured interviews, and quantitative methods, such as demographic profiling and questionnaires
• Running research groups
• Finding an 'angle' on a specific product or service on which to base a campaign;
• Researching the product or service to be advertised, which may involve gaining technical or specific knowledge
• Reconciling the differences between consumers' current perceptions of the brand and the way the client wishes the brand to be perceived;
• Meeting the client to learn the background of the brand and advising on possible approaches to the target market
• Providing the creative team with a clearly defined brief that contains concise information on the product, audience and strategy
• Presenting conclusions and ideas to clients and other agency staff
• Analysing and interpreting customer response and sales data to evaluate the effectiveness of the campaign.

 

We are looking for good UI Developers, for our IOT platform. Those who are looking for a Change please drop in your profiles at www.fernlink.com