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Exp : 3 to 10 Years
Required Skills:
- Hands-on experience in installing, configuring and upgrading AAEP, POM, Speech solutions for global customers.
- Knowledge on integration of AAEP, POM, Speech servers with other adjunct and UC solutions.
- Well versed with Linux commands.
- Knowledge in deploying VMWare/OVA would be added advantage.
- Knowledge on Avaya product like CM, SM, SMGR, WebLM, Call center routing etc. would be added advantage.
- Installation, upgrade and integration AAEP, POM, Speech servers for global customers especially in USA.
- Testing and troubleshooting as required.
- Good planning & analytical skills and ability to communicate effectively with global customers. Work under pressure and deliver on customer timelines.
- Implementation and testing will require to be done during customer approved maintenance windows in the respective countries or regions. Will require late night work during implementation & testing.
- Good written and verbal communication skills
- Must have experience working with global customer
- Self-starter and capable of working independently
- Quick learning ability to learn future skills as per business requirement
- Able to work in flexible hours (including late India night and early morning) to support global customers in North America region
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptPosition Overview:
We are looking for a skilled Software Developer to work in abroad countries. The ideal candidate will have a strong background in software development, problem-solving abilities, and a passion for creating high-quality applications. We provide job assistance to the canditates for there great future and career growth.
Responsibilities:
- Person should have good experience working as Full Stack developer.
- Manage End to End Solution Development.
- Write clean, scalable, and maintainable code using Next.js, React.js, Node.js, Express, and MongoDB.
- Debug and troubleshoot issues to enhance performance and user experience.
- Participate in code reviews, project planning, and discussions.
Python
XMLPreferred Skills:
- Experience with XML-based web services (SOAP, REST).
- Knowledge of database technologies (SQL, NoSQL) for XML data storage.
- Familiarity with version control systems (Git, SVN).
- Understanding of JSON and other data interchange formats.
- Certifications in XML technologies are a plus.
A Day in the Life of a Creative Designer
Location: Pune, India
Experience: 0-5 years
A Creative Designer is an individual who takes direction, turns concepts into visuals, communicates with other team members, and implements feedback to create a final product. At times, a Creative Designer may brainstorm and implement their own unique ideas.
About FlytBase:
FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments across the globe and has the largest network of partners in 50+ countries. The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics. The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase achieved the Global NTT Data Innovation Contest 2019 in Tokyo, Japan. FlytBase graduated from the Cisco LaunchPad Accelerator Program in 2017 and was awarded the TiE50 Top Startup award by TiE Silicon Valley.
On a given day, a Creative Designer will spend time:
● Storyboarding, editing, composting, rendering, and other post-production processes.
● Brainstorming and developing campaigns while working with the marketing team
● Remaining flexible in dealing with changing schedules and multiple points of view.
● Curating motion graphics videos whenever needed
● Turning ideas into a comprehensive creative brief
● Working on layouts and the overall presentation of a campaign
● Ideating and assembling recorded/raw footage into a finished project that is suitable for digital consumption.
● Providing files to necessary vendors like a digital printer etc.
● Input music, video commentary, subtitles, graphics, and effects.
A Creative Designer has some sort of expertise in:
● Adobe Creative Suite.
● Blender/Cinema 4D or any other 3D software would be an added advantage.
● Keeping up with new trends, pop culture, and memes.
● Bringing elements together, like color, imagery, and text, to convey a message.
Skill(s) required:
● Adobe Creative Suite, 3D animation, 2D animation.
● Knowledge of Blender/Cinema 4D or any other 3D software would be an added advantage.
● Updated with new trends, pop culture, and memes.
Compensation:
This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.
Perks:
1. Fast-paced Startup culture
2. Hacker mode environment
3. Enthusiastic and approachable team
4. Professional autonomy
5. Strong meritocracy
6. Zero bureaucracy
7. Company-wide sense of purpose
8. Flexible work hours 9. Informal dress code
How to apply: Fill this form- https://docs.google.com/forms/d/e/1FAIpQLScTLa0xfpIjyu6BukAEeypvHxGxnSMAFK6P846mEhoYZllxzA/viewform
You would be leading the Post-sales management and will closely coordinate with the Sales team in US and with Customers.
You may also be helping us in lead generation via LinkedIn and other media.
Data Science
Machine Learning (ML)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.
JavaPrimary responsibilities:
- Architect, Design and Build high performance Search systems for personalization, optimization, and targeting
- Designing systems with Solr, Akka, Cassandra, Kafka
- Algorithmic development with primary focus Machine Learning
- Working with rapid and innovative development methodologies like: Kanban, Continuous Integration and Daily deployments
- Participation in design and code reviews and recommend improvements
- Unit testing with JUnit, Performance testing and tuning
- Coordination with internal and external teams
- Mentoring junior engineers
- Participate in Product roadmap and Prioritization discussions and decisions
- Evangelize the solution with Professional services and Customer Success teams
If Interested for this Please apply or share with good folks you know.
https://s.ripplehire.com/s/Bg0H
https://s.ripplehire.com/s/Bg0H
Or fill this form: https://docs.google.com/forms/u/2/d/1-2MoDA8HH0wItTuaPtLpuCmQAn2mjM0lxISwYVTvQYM
Job Description: You will begin in an individual contributor’s role, working in ateam of go-getters to help spread the Byju’s way of Learning in your city. You would be showcasing the unique Byju’s way of Learning to students and parents and will be responsible for mentoring and sales in your designated zone.
Preferred Skill Sets:
• Having a keen interest and deep understanding of the Indian education sector. • Interested in mentoring and guiding students.
• Having a knack for sales
• Good interpersonal and presentation skills.
Academic Qualification: Any Graduation/ Post Graduation (Completed in or before 2020)
Training: All selected candidates will be part of a two-month training process under the Business Development Trainee profile at a monthly stipend of Rs 25,000. Upon successful completion of training candidates will be promoted to the role of Business Development Associates (BDA)
The first 2 weeks of this training will be classroom training followed by 6 weeks of "On- the-Job Training", both at the BDT Training Location. There will be additional performance incentives which will be applicable during the training period. Currently till our offices re-open, the training will happen in the Work from Home mode. Once our offices are open, the training will shift to the BDT Training Location.
Upon successful completion of training based on clearing the company's expected parameters, they will be confirmed as BDA - Direct Sales (at 10 LPA) or BDA - Inside Sales (at 8 LPA). Also, only after confirmation to the BDA role, they will start work at their 'Role Location'.
CTC (BDT): INR 300000 PA fixed pay+ INR 200000 PA performance pay
CTC (BDA): INR 1000000 (7 lakh fixed pay + 3 lakh performance pay) (After Successful
completion of training)
Note for candidates confirmed as BDA-Direct Sales: In the unlikely scenario where the Direct Sales Model does not resume in their role location at the end of the Training Program, the candidate will be offered the BDA-Inside Sales (at 8 LPA) role in Bengaluru. They will relocate to their role location as BDA-Direct Sales (at 10 LPA) as soon as the Direct Sales model begins at their role location.
Minimum qualifications:
- Bachelor’s degree
Responsibilities:
- Assess go-to-market readiness, identify gaps in preparedness, and build plans to perform annual goals successfully.
- Work with teams to identify, qualify, and prioritize coverage for business opportunities. Participate in opportunity review meetings to provide insight into how to secure the technical win best.
- Maintain customer satisfaction.
- Resolve product problems affecting customer satisfaction.
- Build trust with customers and influential relationships.
Location: Pune
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