Graphic Designer

Role & Responsibilities:
 Managing cloud-based serverless infrastructure on AWS, GCP(firebase) with IaC
(Terraform, CloudFormation etc.,)
 Deploying and maintaining products, services, and network components with a focus
on security, reliability, and zero downtime
 Automating and streamlining existing processes to aid the development team
 Working with the development team to create ephemeral environments, simplifying
the development lifecycle
 Driving forward our blockchain infrastructure by creating and managing validators for
a wide variety of new and existing blockchains
Requirements:
 1-3+ years in a SRE / DevOps / DevSecOps or Infrastructure Engineering role
 Strong working knowledge of Amazon Web Services (AWS) or GCP or similar cloud
ecosystem
 Experience working with declarative Infrastructure-as-Code frameworks(Terraform,
CloudFormation)
 Experience with containerization technologies and tools (Docker, Kubernetes), CI/CD
pipelines and Linux/Unix administration
 Bonus points - if you know more about crypto, staking, defi, proof-of-stake,
validators, delegations
Benefits:
 Competitive CTC on par with market along with ESOPs/Tokens

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.

About us:

Do Your Thng (DYT) is a creator community platform with an overarching vision to democratise influence and build a thriving creator community. We offer two solutions. An app for creators that helps them make a living out of content creation. And a self-serve web desk module for marketers to execute influencer campaigns in a quick, frictionless, targeted, and economically attractive manner.

 

• 2-4years of experience as an iOS developer. 
• Must have Working Experience in a product based organization at least 18 months.
• Good Communication skills must. 

 

• Understanding the project requirement intuitively and providing proper time estimation.-Always read for troubleshooting in all important projects. ● Experience in accessing data as JSON/XML using REST API. 
• Candidate should have good knowledge of iOS, Swift, xCode and Git. ● Ability to build complex iOS standalone client applications & user interfaces, design & implementation. 
• Experience with iOS Frameworks such as UIKit, Auto-layout using storyboards, etc. ● Knowledge of Apple's design principals, application interface guidelines, and experience with 
• AutoLayout. 
• Good communication skills with the ability to work in a highly-collaborative, agile team 
• Strong analytical and problem-solving skills 
• Flexibility to learn, and work with new technologies

We are building a Fighting Game similar to Tekken and Soulcalibur VI. Looking for Sr. UE Game Developer.

What are we looking for
● You’ve been building the backend for web applications.
● You have experience with any of these backend programming languages --
Python, NodeJS or Java.
● You write an understandable, testable code with an eye towards
maintainability.
● You are a strong communicator. Explaining complex technical concepts to
designers, support, and other engineers is no problem for you.
● You possess strong computer science fundamentals: data structures,
algorithms, programming languages, distributed systems, and information
retrieval.
● You have completed a bachelor's degree in Computer Science, Engineering or
related field, or equivalent training, fellowship, or work experience.

Do you want to be part of a fast-paced environment, supporting the growth of cutting edge technology in cloud computing? 

This opportunity is with one of our leading client which has diverse group of cloud technology professionals with the goal: to make our clients- lives easier through technology and we have a good time while we- re at it! . Our client is the #1 Company to Work for among small and medium-sized companies in this year's annual Glassdoor Employees- Choice Awards, a list of the Best Places to Work in 2018. Come be a part of our team!

Location : Remote working permanently is available.

Must Have:
-Relevant 4 year experience with Salesforce development.
-Relevant 1 year of lightening experience.
-Bachelor's or Equivalent Degree in Computers
-Salesforce Administrator OR Platform Developer 1 Certification

Responsibilities :
- Writing clean and flawless code to produce fully functional modules or apps according to the requirements; as part of day-to-day work. 
- As Sr. developer you are expected to possess expert-level knowledge of Force.com platform and an analytical mindset with a keen eye for detail.
- Perform a thorough analysis of requirements i.e.Obtain a deep understanding of the desired output
- Check whether the implementation is possible or not; respecting the Salesforce environment's limitations or governors
- Evaluate whether stated requirement (or a part) can be achieved via configuration before opting for coding
- An optimal code design solution of complex requirements,Thorough impact analysis of the planned development
- Develop high quality scalable code by Following Salesforce.com and Silverline-CRM standards/best practices
- Leverage recommended frameworks (ex. Test framework or Trigger framework)
- Fix all bugs reported from QA/UAT,Work on deployments through recommended tools and methodologies.
- Follow DevOps processes i.e.Use recommended IDEs
- Enhance skills and capability in USABILITY focussed development
- Exhibit good interpersonal skills by being a team player, staying approachable and collaborative.

Requirements :
- Minimum 5 - 7 years experience in Software Development
- Relevant 4 years experience with SFDC
- Good in communication and interpersonal skills
- Certified Salesforce - Platform Developer I
- Bachelor's Degree in Engineering or Science

Good to have :
- Architecture Experience
- Experience working with US based / headquartered companies
- Work Experience in Healthcare & Insurance Industry/clients.

Benefits : Industry leading benefits including Health Insurance offered. Will be part of a US based/headquartered company.

Job Typ : Full-time(Flexible with Remote working, if outside Bangalore)

Do you breathe and drink DevOps? Do you keep redesigning and reviewing your deployment until you can optimize it no more? If yes, and you are good at it, an extremely high quality work + great work life balance awaits you. StatusBrew is one of the few companies in India that have built a massively successful product at the global level. Ranked under 5000 by Alexa for a high volume of traffic and with about 1,000,000 monthly active users, we are ready to make it even bigger. As incharge of DevOps at StatusBrew, you will be managing the deployment of a global product with: 1. 1 mn monthly active users, 200K daily active, 2000 users concurrent at any point of time 2. 1 TB data generated in 1 week, 1 Billion database rows in just 1 day 3. $20,000 spent on AWS every month after many optimizations We have an extremely cozy office in Amritsar. We have a tight knit team that enjoys working and having fun together. Talk to us if you want to join us in our journey to the next 100 million users.