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Training –
Training undergraduate science students to develop Games using software such as Unity, Unreal Engine, C# & C++ programming language. Should be able to clearly explain to students - OOP’s concept, programming logics & algorithms. Also, should be fully conversant with 12th level Mathematics and Physics concepts (such as Vector, Coordinate System, Matrices, Quaternion etc.) used in game programming
Specific Skill Set :
- Strong working knowledge and experience of C#, C++ & Game engine (Unity3D, unreal engine, Cocos2d etc…) its application in game development is must & required (training, working experience)
- Very strong knowledge of OOP’s concept (Such as Encapsulation, Inheritance, polymorphism etc.), programming logics & Algorithms is mandatory
- Thorough with Mathematics, Physics & its Concepts (such as Vector, Coordinate System, Matrices, Quaternion etc.)
- Good communicator (both oral and written) in English
- Self-motivated, initiator and results-oriented
- Should demonstrate positive attitude, high motivation and interpersonal skills
Minimum/Maximum/ Work Experience Required: – 3-5 years
Any other skill set:
Enjoys working with people of all ages, from youth to parents and College staff
Efficiently organized, with the ability to maintain detailed records
Ability to execute events in a well-coordinated and planned manner Encouraging Compassionate
Time management and follow-up skills
* Software professional who are passionate to teach and share knowledge, will be preferred.
As a Digital Marketing Specialist, you will be responsible for developing, implementing, and managing digital marketing strategies to increase brand awareness, drive website traffic, and generate leads. You will work closely with the marketing team to create engaging content and optimize campaigns across various digital channels.
Roles & Responsibilities:
- SEO Management: Optimize website content and structure to improve search engine rankings and drive organic traffic.
- Content Creation: Develop and manage engaging content for blogs, social media, email campaigns, and other digital platforms.
- Social Media Marketing: Create and execute social media strategies to enhance brand presence and engage with the audience across platforms.
- Email Marketing: Design and implement email marketing campaigns, including newsletters and promotional offers, while analyzing performance metrics.
- PPC Advertising: Manage paid advertising campaigns (Google Ads, social media ads) to drive targeted traffic and improve ROI.
- Analytics and Reporting: Utilize tools like Google Analytics to track and report on campaign performance, providing insights and recommendations for improvement.
- Brand Development: Assist in developing a cohesive brand strategy and ensure consistent messaging across all channels.
- Market Research: Stay updated on industry trends and competitor activities to identify new opportunities for growth.
- Collaboration: Work with cross-functional teams, including sales and product development, to align marketing efforts with business objectives.
Job Description:
Oracle EBS Technical
Senior Program Analysts having 3+ years of experience working on Oracle EBS (release 12+) Financial modules (Projects, Purchasing optional)
Expertise in D2K forms, Reports, XML reports, PLSQL, API/Interface development, OAF knowledge is optional
Should have knowledge of Financial modules (GL, AP, AR)
Worked on interfaces and API
Can work independently once requirements are shared. Able to navigate and test functionality in Oracle EBS without support
Additional information
Good communication skills and accounting knowledge is must
Experience required:
- Experience in developing enterprise wide web-based n-Tier applications using Microsoft and JavaScript technology stack.
- Fluent knowledge and hands-on experience in C# ASP.Net WebAPI with .Net Core/ .Net 5+, Angular (4/5+) with TypeScript, Angular Material, CSS, HTML 5, Bootstrap.
- Knowledge of nHibernate, IoC Containers, any SQL DB and any NoSQL DB would be an added advantage.
- Having experience in container technology (Kubernetes/Dockers) and microservices implementation would be an added advantage.
- Hands on experience in unit testing using tools like xUnit and mocking framework etc. CI/CD process are an added advantage
- Good knowledge and experience of OOAD, SOA and RESTful based patterns and implementation.
- Good understanding of Design patterns and their implementation
- Should be able to work independently with new technologies
- You may reach us
Java Full stack developer for Tech ladd company
Learned company standards of application software development, Agile and iterative
development methodologies
Adept at planning and executing deployment of system features, orchestrating the integration, and maintaining the system throughout its life cycle. Proficient in interacting with key clients, understanding their requirements to complete projects within stipulated time and budget, and ensuring optimum client satisfaction.
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 looking for experienced and creative UI/UX Developers to join our growing team!
Requirements:
- Experience in building Web UI applications which integrate with the backend services
- Proficient and Expert in JavaScript with expertise in ReactJS and React based eco-system - Redux, React Native etc. to build applications in a modular way.
- Proficient in build and project management tools for UI projects - NodeJS, NPM, Webpack, Yarn, Babel, Linters etc.
- Intermediate level skills in designing UI tailored for the best UX experience - understanding of UX techniques.
- Experience of using other UI frameworks like AngularJS and some popular libraries like jQuery etc.
Responsibilities:
- Develop high-quality software design and architecture
- Technology research and evaluations
- Identify, prioritize and execute tasks in the software development life cycle
- Develop tools and applications by producing clean, efficient code
- Work directly with the existing and potential customers
- Collaborate with vendors to enhance the product
- Automate tasks through appropriate tools and scripting
- Review and debug code
- Perform validation and verification testing
- Document development phases and monitor systems
- Ensure software is up-to-date with latest technologies
- Technical on boarding of new hires
Compensation, Perks, and Differentiators:
- Healthcare
- Unlimited PTO
- Paid sick days
- Paid holidays
- Continuing education
- Equity and performance-based pay options
- As our company evolves, so do our benefits. We’re actively innovating how we support our employees.
Title:-Salesforce developer with Tibco integration
Location:-Pune
Exp:-4+yrs
CTC:-20-23lpa
KEY RESPONSIBILITIES:
- Develop enhancements to support the implementation of multiple strategic business units
- Analyze production support defects and develop code fixes
- Provide technical guidance to key business stakeholders
- Collaborate with Platform Manager and Technical Architect on technical and solution designs
- Work with other IT teams on integration related issues and enhancements
- Provide guidance to QA team on testing requirements
- Document technical and solution designs
- Adhere to the documented agile process and comply with corporate standards/policies
SPECIFIC KNOWLEDGE & SKILLS:
· Experience with the development of the following components:
o Apex Triggers and Batch classes
o Lightning Web Components
o Flows, Process Builder, and Workflows
o Web Services
- Knowledge and experience of Sales Cloud implementations
- Experience with the development of Tibco Scribe and the creation of data flows
- Extensive knowledge of all admin tasks


