11+ BMIDE Jobs in Bangalore (Bengaluru) | BMIDE Job openings in Bangalore (Bengaluru)

Hand on experience with TC Customization, Installation, Upgrade, Migration

Teamcenter BMIDE & ITK - Working with BOM & Structure , SOA , AWC customization

Work Flow & Dispatcher configuration through custom utility translation

Good knowledge on Teamcenter customization and AWC customization and configuration

Should have intensive work experience on the following modules. 

oReport generation.

oPLM-XML import / export.

oDocument Management

Good knowledge on required programming languages for ITK(C/C++), SOA-AWC(Angular JS,HTML,CSS) customization.

In addition to that, 

oBMIDE

oDispatcher

oWorkflow (Designer).

oPreferences

oQuery Builder

 

Optionally, 

Teamcenter to SAP integration

Teamcenter to Polarion integration

We need a Content Writer - MBA from Sales & marketing - Having atleast 1 year of hand on experience

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.

❖ Develop, test, and deploy fast and scalable web apps
❖ Designing and maintenance of fully functional large relational and non-relational databases
❖ Server management and cloud-based infrastructure
❖ Identification of application issues when deploying the apps
❖ App deployment on the cloud along with solving debugging issues
❖ Coding architecture for frontend and backend
❖ Collaboration with IT team, researchers, designers for designing robust apps and encouraging business goals
❖ Creating features in apps that have a mobile responsive design
❖ Testing applications and fixing bugs, along with security and data protection features
❖ Establish code architecture decisions for supporting scalability and good performance
❖ Makes use of popular front-end frameworks like Bootstrap, LESS, etc and design UI components
❖ Participation with developers for the creation of scalable RESTful APIs.
❖ Conducting code reviews of peer developers.

Are you looking for a UI/UX Designer role in a high growth startup? Are you eager to learn and make a difference at work every day? If so, then read on.

 

At PlumQR, we work on revolutionizing the Food & Beverage industry with our cloud-based tech products. Millions of businesses across the world are switching for better, smarter & more hygienic products to reinvent their businesses. If you have what it takes to innovate & lead, we have just the right opportunity for you.

 

Requirements

• At least two years of experience as a UX/UI designer
• Possess advanced knowledge of Sketch and are proficient in Adobe Suite
• Passionate about the work you do and are open to feedback
• Adept at multitasking between tasks and work in a dynamic environment
• Driven by data- comfortable to analyze data and usage patterns to generate insights on how to best improve the user experience 
• Have an incredible work ethic

Key Responsibilities:
 Contributes to design, development, troubleshooting, debugging, evaluating, modifying, deploying, and documenting software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications
 Function as an active member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
 Participate in code reviews and automated testing
 Debug basic software components and identify code defects for remediation
 Support and monitoring of software across test, integration, and production environments
 Automate deployments in test or production environments
 Explores new automation techniques to refine the agility, speed and quality of engineering initiatives and efforts
 Defines test conditions based on the requirements and specifications provided. Takes part in reviews of own work and handles work efficiently. Skills & Qualifications:
 5+ years of software development experience in Java.
 Java 8, JBPM, Security, Microservices, API, Gateway, spring boot.
 Understanding of Agile or other rapid application development methods, object-oriented design, exposure to design and coding across one or more platforms and languages
 Experience in developing REST APIs and building Microservices.
 Strong hands-on experience with databases (SQL & no-SQL)
 Solid understanding of data structures, Algorithms & Design Patters will be a plus
 Exposure to methods relating to application design, software development and automated testing
 Ability to understand and use data structures and associated components
 Understands the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s)
 Familiar with infrastructure technologies and components
 Learns and applies new technologies and techniques. Keeps up to date on current research and technology in the industry
 Recognizes the importance of collaboration to achieve objectives. Influences team members with creative changes and continuous improvement.
 Demonstrates analytical thinking, problem solving and adaptive communication
 Ability to learn and deep dive into new technology and business domains, question status quo and think outside of the box.
 Bachelor’s degree in technical field or equivalent training/certification, or relevant work experience.

Location: Bangalore/Mumbai

Requirements:

• Experience in building tech platforms
• Setup SDLC processes within the team.
• Define Architecture and tech design of the system. Take strategic calls in deciding the tech stack to be used.
• Should be a hands on coder and should contribute significantly to the code base.
• Manage task allocation and delivery timelines for the team.
• Team building and hiring. Should be able to define the resource requirements and work with hiring managers to fill in the positions.
• Work closely with the product and business team to execute the vision and roadmap of the company.
• Domain expertise in Payments/Lending/Fintech is preferred.

Position: Sr. Software Engineer (PHP Web Application Developer) Location: Bangalore No. of Positions: 1 Experience: 3 to 6 years Salary: As recommended Tyfone is a leading provider of digital security solutions for identity and transactions. Tyfone’s Omni Channel Banking and Omni Channel Security solutions bring both security and convenience in the hyper-connected digital world of cloud, where legacy security methods have proven to be ineffective. The company’s secure solutions serve vital industries such as financial services, converged security for enterprises, critical infrastructure, and the US Government. Job Description We are looking for a PHP Developer for our Omni Channel Banking team who would be responsible for designing and developing our product offering. Your primary focus will be to build modules and features for our online product and ensuring high performance and responsiveness to our online products. Since this involved building the various front-end elements, an understanding of front-end technologies is necessary for this role. Responsibilities Design and develop efficient and testable modules or APIs. Help with designing and the various modules in our product Solve complex performance problems Troubleshooting, testing and maintaining the core product software Mentor team members and performing regular code reviews for improving code quality. Skills and Qualifications Bachelor’s or Master’s degree in Computer Science or related fields Experience in building web-based products on the LAMP technology stack Experience with PHP frameworks. Proficiency in Laravel is an added advantage. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Experience in Object-oriented programming, good knowledge of design patterns, database design Good understanding of web application development best practices, performance optimization, security basics etc. Good experience in consuming & writing RESTful APIs Analytical and creative problem-solving skills Proficient understanding of code versioning tools, such as Git