
This is intership for three months .
About the internship
Selected intern's day-to-day responsibilities include:
1. Testing graphics across various media
2.Creating images and layouts by hand or using design software
3.Ensure final graphics and layouts are visually appealing and on-brand
4.Prepare rough drafts and present ideas
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. are available for duration of 3 months
3. are from or open to relocate to Delhi and neighboring cities
4. have relevant skills and interests

About INFOKEY TECHNOLOGY PRIVATE LIMITED
About
Similar jobs
Role - Lead (Technology & Data Cell)
Experience - 6+ years
Job Location - Aundh, Pune, Maharashtra
About our Client :-
Our client is a Communities Foundation that works in the area of skilling and livelihoods for underserved youths. This is a pioneering program with a strong PPP model, an agency-led approach to livelihoods and a vision of socio-economic transformation.
The Lead for Technology and Data consultant Cell has the opportunity to create and implement the vision for enabling the organization to serve 1 million youth by 2030 by using cutting-edge technology and data systems.
They will Tech enable organizational systems for effective operations, devise data solutions for effective decision making and strategic direction. They will closely work with the program teams to fully understand the
program landscape and implement technology solutions accordingly. Implementation would include being the single point of contact for the Software service provider, end to end back-end support and training of the users.
- Design and Implementation/upgradation of a Tech platform for the Livelihood program:
In collaboration with the Software service provider, an ERP system is being developed and is close to going-live. The responsibilities would include:
i) Understanding the business requirements w.r.t the platform
ii) Data migration: Migrating the legacy data on the platform in the required format whilst ensuring accuracy of the data
iii) End-user training across centers and central team: Hand Holding the team along with Service provider during go-Live and implementation
iv) Troubleshooting wherever required through constant updates and follow-up on system glitches and ensuring resolution with the support of Software service providers.
v) Monitoring of the system application across centers. Identifying required improvisations and suggesting the same.
vi) Coordinating with software service provider for changes and support required for smooth running of the application
vii) Managing and maintaining SMS/Email gateways, domain, servers etc.
viii) Meaningful data extraction and reporting.
ix) Establish Data systems: Establish protocol for data storage and data sharing.
i) Identify technology requirements for Donor management, HR management and all other areas as required.
- Data Analytics: Facilitate culture of data-driven decision making within the organization, including but not limited to, provision of relevant data analytics to the program team.
- Knowledge Management: Lead the overall knowledge management system for the organization and enable data to be available on cloud with a clear protocol for sharing and storage.
- Education: BE Computers
- Experience: Project management experience of 5+ years
- Data management skills Proven understanding the principles of data management and administration.
- IT and database skills Familiarity with modern databases and IT systems. - Candidates with a fair understanding of PHP and SQL databases would be preferred.
- Analytical skills
- Problem-solving skills
- Partnership management
- Excellent verbal and written communication skills.


· What you’ll be doing:
Architecting and delivering mid to large scale Enterprise Applications on Microsoft Platform.
· Recommending and participating in activities related to the design, development and maintenance of the Enterprise Application Architecture.
Delivering projects on time with quality.
· Provide technical leadership regarding technology or project to customers and team members
· Shares best practices, lessons learned and constantly updates the technical system architecture requirements based on changing technologies and knowledge related to recent, current and up-coming vendor products and solutions.
· Participate in technical forums and discussion within the team and with clients.
· Guides and mentors’ team in terms of technical solutioning.
What you’ll bring to the team:
· You have 15+ years of experience in Strong design & coding experience in Dot net framework using design patterns & OOPs concepts.
· You have practical knowledge & good understanding of cross technology and functional domains, programming concepts and logical approach for problem solving.
You hold rich experience on web development technologies including ASP.NET, MVC5, JavaScript, jQuery, HTML5, AJAX, XML and CSS.
· You have experience in web application Architecture and Development with hands on expertise in delivering solutions, customizing C#, ASP.Net applications using development tools like Visual Studio 2010/2012.
Requirements:
• Strong understanding of Nodejs & front-end Technology.
• Strong understanding of MEAN or MERN Stack.
• Strong knowledge of HTML, CSS, RWD, Javascript, and JQuery.
• Bring 1+ years of Experience in Node with typescript or React.
• Strong OOPS ( Object Oriented Programming ) concepts.
• Good knowledge of browser caching, working with cookies and Java scripts for faster website loads.
• Mean/Mern Stack Developer with hands-on experience in Node.js, typescript, and angular.
• Experience developing and improving REST APIs.
• Experience working with AWS Clouds/Azure.
• Experience building web UI dashboards and other self-service solutions.
• Relational DB knowledge (MySQL, PostgreSQL, Oracle, or SQL Server).
• NoSQL knowledge (MongoDB, Redis, Cassandra, or Hadoop).
• Ability to recite design patterns.
• Experience leading Agile projects and getting results in Scrum or Kanban teams and workflows.
• Experience with practices such as Test-Driven Development (TDD) is a plus



We are looking for skilled Full stack Developer to join our team. The successful candidate will be responsible for developing, maintaining, and scaling our server-side application logic using Python and related frameworks. As a full-stack developer, you will work closely with front-end developers, data scientists, and project managers to develop scalable and reliable software solutions.
Responsibilities:
Developing and maintaining server-side application logic using Python and related frameworks
Designing and implementing APIs and web services using RESTful principles
Collaborating with front-end developers to integrate user-facing elements with server-side logic
Designing and implementing efficient database schemas and queries
Developing and maintaining automated testing and deployment pipelines
Ensuring high performance and scalability of software applications
Having knowledge of Node.js will be added advantage
Troubleshooting and debugging software issues
Staying up-to-date with emerging trends and technologies in backend development
Requirements:
Strong experience with Python and related frameworks such as Flask, Django, or Pyramid
Proficient understanding of SQL and NoSQL databases
Experience with AWS or other cloud platforms
Familiarity with version control systems such as Git
Excellent problem-solving and debugging skills
Strong communication and collaboration skills
Ability to work in a fast-paced, collaborative environment
If you are a passionate Backend Python Developer with a strong desire to work on complex, challenging problems, we encourage you to apply.


The desired candidate will have a passion to host and handle large scale web applications and should be able to deliver a complete end to end solution right from the front end, back end, database management, and its deployment and scalability.
Roles and Responsibilities :
- Ability to translate Wireframes and PSD Designs into functional web apps.
- Binding of UI elements to JavaScript object models.
- Creating RESTful services with Node.js.
- MERN stack developer must have proven experience in front & back-end development.
- Work in a cross-functional team to deliver a complete user experience.
- React.js, Node.js developer must know MongoDB, Express, Node.js, & React.
- Create Unit and Integration tests to ensure the quality of code.
- Be responsive to change requests and feature requests.
- Write code that is cross-platform and cross-device compatible.
- MERN full stack developer must have the ability to wear many hats and learn new technologies quickly.
- For MERN stack developer job, candidate must have good Knowledge of Node Debugging.
- Understanding & proficiency in REST APIs.
- MERN stack developers should know Git Repository and Jira.
- Integration of data storage solutions (RDBMS, NoSQL DB).
Desired Candidate Profile :
- Excellent in basic programming in any web technology Server and Client Like ReactJS/NodeJS/VueJS and Server-side scripts.
- Basic knowledge in APIs, Micro Services.
- Hands-On experience in Web development frameworks.
- Hands-On in Database queries and concepts.
- Understanding of performance testing and optimization techniques.
Perks and Benefits :
- No salary bar for deserving candidates.
- 5 days working.
- Paid and leave encashment facility available.
- Open work culture.
- A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
- Updating and maintaining HR systems, records, and reports with accurate employee data.
- Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
- Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
- Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
- Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
- Producing Information reports and complete any HR audit requirements and/or reporting as required.
- Ensuring that the end-to-end HR process always supports a positive employee experience.
- Following existing HR processes accurately and challenging these for ongoing efficiencies.
- Supporting HR priority projects with any administrative activity
- Responding to emails on behalf of the department
- Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.
Job Profile -
Job Location - Changodar (No transportation benefit)
1. Knowledge of all accounting entries
2. Checking and verifying the work done by Junior Accountant
- Bank Reconciliation
- Journal Voucher, all Entries, etc.
3. Can work as Team Leader and to ensure proper book keeping on daily basis
4. Monthly ledger Reconciliation & Confirmation
5. Daily Bank Payment
6. Banking work like Renewal of Limit, Monthly reports to Bank (Stock report), etc.
7. Payment of Statutory Dues
8. Preparation of GST Return, TDS & TCS Return and FILING it on Portal
9. Monthly Profit & Loss - to management
10. Should have knowledge of Taxation such as GST, Income Tax
11. To finalise the Balance Sheet as per Companies Act
12. GST Reconciliation – Annual Returns, Monthly Returns with Book
13. Import Export Knowledge


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.

- 5+ years of working experience in the technologies like Angular6 or higher, NodeJS & MySQL, AWS Cloud Services
- Strong Hands-on with any Enterprise Programming Language (Python/.Net) in past
- Experience with architecting, designing, and debugging MEAN, full-stack based enterprise software
- Should have expertise in designing relational database tables & writing SQL Queries, Stored Procedures, and Functions.
- Ability to handle small teams and mentor them.
- Ability to analyze, design, and build object-oriented, component-based applications.
- Extensive experience in the design, planning, and implementation of complex large-scale enterprise solutions using distributed teams within process-oriented organizations.
- Experience developing and deploying applications on Linux based operating systems
- Willingness to experiment with new and latest tools and technologies.
- Experience in Banking, Credit Card Payments, and Gateways domain would be an advantage. ·

- Primary Skills: Xamarin and WPF
- Mandatory skill: Xamarin. Forms & WPF
- Experience in designing and developing Xamarin applications (mainly xamarin forms).
- Good knowledge of C#.Net.
- Understanding and implementation of MVVM design pattern.
- Good to have knowledge in other design patterns as well.
- Experience with Agile/ mobile dev-ops methodologies.
- Passionate about advancements in technologies
- Looking Candidate who has H1 & B1 valid Visa only, candidate need to travel to US immediately if shortlisted

