Adobe IllustratorOur client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Working with key stakeholders and subject matter experts to help design and develop training interventions that incorporate best practices in behavioural and cognitive sciences to effectively address business and performance issues.
- Assisting in designing and developing learning solutions for multiple delivery methods including instructor-led, web-based, virtual classroom, and blended instruction, Simulations & Gamified.
- Creating engaging learning activities and compelling course content
- Working with subject matter experts to identify the target audience’s training needs
- Visualizing instructional graphics, the user interface, and the finished product
- Analyzing and applying trends and best practices in learning technologies and instructional design
- Providing exercises and activities that enhance the learning process
- Creating supporting material/ media (audio, video, simulations, role-plays, games, etc)
- Maintaining project documentation and course folders
What you need to have:
- Graduate in any stream
- Good command over the English Language
- Creativity, Research Skills
- People Skills, Time Management Skills
- Flexibility
- Adobe Captivate
- Adobe Photoshop
- Adobe Illustrator
- Powtoons
- Addon - Camtasia, After effects, HTML 5
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job description
Job Title: System Integrator / Technical Support Engineer (Integration)
Experience: 5 Years
Employment Type: Full-Time
About the Role
We are seeking an experienced and technically proficient Client Support / Technical Support Engineer (Integration) to join our dynamic team. The ideal candidate will possess strong analytical skills and a solid background in API integrations, Integration Kits, and technologies such as Java, PHP, or Android.
In this role, you will serve as the primary point of contact for clients, ensuring smooth implementation, efficient issue resolution, and exceptional customer satisfaction throughout the integration process.
Key Responsibilities
Provide technical support and integration assistance to clients via email, calls, or ticketing systems.
Assist clients in setting up, configuring, and troubleshooting API / SDK / Integration Kits.
Collaborate with internal development and product teams to resolve complex technical challenges.
Analyze logs, debug issues, and replicate customer scenarios to identify root causes.
Maintain detailed documentation of integration processes, FAQs, and troubleshooting guides.
Ensure timely and professional resolution of client queries to maintain high satisfaction levels.
Work cross-functionally to support client onboarding, testing, and deployment activities.
Required Skills & Qualifications
Bachelors degree in Computer Science, Information Technology, or a related field.
Minimum 5 years of experience in Client Support, Technical Support, or Integration Support roles.
Hands-on experience with at least one of the following: Java, PHP, or Android.
Strong understanding of API integrations, SDKs, and web technologies (REST / JSON).
Familiarity with Integration Kits or middleware solutions.
Excellent communication, analytical, and problem-solving skills.
Ability to work independently and manage multiple client projects simultaneously.
Preferred Skills
Experience in the Payment Gateway..
Knowledge of SQL for data validation and troubleshooting.
Proficiency with Postman, API testing, and log analysis tools.
Data ScienceData Collection and Preprocessing:
- Gather and clean data from various sources (e.g., databases, APIs, web scraping).
- Perform data validation and ensure data quality.
- Transform and prepare data for analysis and modeling.
Data Analysis and Modeling:
- Conduct exploratory data analysis (EDA) to identify patterns and trends.
- Develop and implement machine learning models (e.g., regression, classification, clustering).
- Evaluate model performance and optimize for accuracy and efficiency.
- Apply statistical techniques and algorithms to solve business problems.
Data Visualization and Reporting:
- Create compelling visualizations to communicate insights to stakeholders.
- Develop dashboards and reports to track key performance indicators (KPIs).
- Present findings to technical and non-technical audiences.
Javascript
NodeJS (Node.js)
Angular (2+)About Company
One of the India's leading Renewable Energy Consultants, working with large commercial and Industrial clients and helping them choose right Renewable Energy solution for them.
Roles & responsibilities:
• Research and Analysis in the Renewable Energy Sector of the regulations,policies, market competitors, key developers
• Creating and maintaining Financial Models and Financial Calculators as per the Customer’s and Company’s requirements
• Supporting in the Transaction Execution and in signing the PPA documents with the customers
• Preparation of Financial Modeling, corporate presentations, and information memorandum, RFS
Requirements:
MBA in Finance or comparable qualification with 8 -16 months of experience and excellent knowledge of Microsoft Excel
• You must have excellent knowledge and hands on for Ms Excel.
• You must have strong analytical (quantitative as well as qualitative) skills including building financial models
• You should have a strong financial statement analysis foundation
• You should have great research capabilities and understanding of the power and utility sector with a focus on solar, wind, and new upcoming technologies
• You should have excellent communication, writing skills, report-writing, and presentation skills
Java- Experience in Java and associated technologies Core Java, JSP, Spring, Struts,RESTful Services,SOAP,Tomcat, Hibernate, Maven
- Strong understanding of OOPS concepts
- Proficient understanding of RDBMS Concepts
- Strong understanding of Databases Oracle / MSQL / MySQL etc and PL/SQL Programming
.NET• Involved in entire SDLC lifecycle including analysis, development, fixing and monitoring of issues on the assigned product lines.
• Meets and exceeds standards for the quality and timeliness of the work products.
• Implements, unit tests, debugs and leads integrations of complex code.
• Identify opportunities for further enhancements and refinements to best practices, standards and processes. • Ensure robust, securely accessible, highly available and highly scalable product that meets or exceeds customer and end-user expectations
Experience 3 – 6 Years
Technical Duties & Responsibilities
With 2-4 years of experience in Scalable Architecture development. We are looking for Independent Contributors, who have good understanding of Microservices based architecture, and a comprehensive awareness of various architectures & their suitability as per product requirements: -
• Strong knowledge of microservices based architecture model.
• Good knowledge of messaging frameworks like RabbitMQ. Prefer a candidate who had earlier used messaging for a chat type solution or developed high transaction messaging queues.
• Should have experience in Elastic Search and Kibana. • Good understanding of RESTful architecture, database technologies (both SQL - and NoSQL).
• Ability to understand and solve performance issues and constraints.
• Should have understanding of scaling applications, and know the bottlenecks involved in resource optimization.
• Proficient in .Net framework and its languages with also good programming knowledge of JavaScript.
• Proficient in MS concepts like Asp.net, C#, MVC, webservices (development and consumption), API development
• Should have experience in Agile, iterative and Scrum based projects.
• Should have worked in a Test Driven Development (TDD) environment. Good knowledge of Object Oriented programming, Design Principles like SOLID, and Gang of Four Design patterns.
Roles & responsibilities:
1. On-boarding senior level hiring across industries for short-term projects based on client requirements.
3. Day to day operational activities like interacting with the clients.
Prerequisites:
1. Excellent" Communication Skills
2. Must have experience in hiring using Naukri, Social media, LinkedIn etc.
3. Ability to work in time bound manner
4. Entrepreneurial DNA
5. Should work autonomously with minimal supervision
6. Strong negotiation skills, ability to keep multiple stakeholders in mind all the time
** Please excuse us if you don't have candidate-search experience.
Basic Qualification
MBA with 1 to 3 years of work experience
Why Should you work with us:
1. An environment where passion and youth combine to deliver a globally relevant platform
2. Personal growth with the company
3. Good-remuneration (depending on the candidate & relevant experience)
4. Performance-based incentive - in addition to the salary
Our offer:
-A salary in line with the market Standard
-Equity in the firm (Up to 0.5%)
-Excellent career growth opportunities with a very fast growing company
Regards,
Sapna
R Programming
PythonData ScienceRole and Responsibilities
- Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
- The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
- Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).
Core Qualifications
Candidates must meet ALL of the following qualifications:
- Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
- Three years of industry work experience, developing data mining models which were deployed and used.
- Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
- Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks
Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:
- Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
- Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
- Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
- 2019 Edge Computing Company of the Year – Compass Intelligence
- 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
- 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
- 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
- 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
- 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
- 2018 The 10 Most Innovative AI Solution Providers – Insights Success
- 2018 The AI 100 – CB Insights
- 2017 Cool Vendor in IoT Edge Computing – Gartner
- 2017 20 Most Promising AI Service Providers – CIO Review
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
- We care about “best practices”
- Have a direct impact on the company’s revenue
- Give or receive mentoring as part of the collaborative process
- Questions and challenging the status quo with data is safe
- Intellectual curiosity balanced with humility
- Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon