Senior Product Manager

Skills- .net, asp.net, SPFX, MVC, API, SQL, angular, javascript, jquery, devops, sharepoint, .net core, GitHub, agile, Angular JS, .net framework

Location: Chennai, Bangalore, Kochi, Coimbatore, Hyderbad

Requirement:

We are looking for dotnet developer with the skillset of

1. Dot Net. Sharepoint Online, SPFX (3-6yrs exp)
2. Dot Net. Sharepoint Online, SPFX, Knowledge Management, Power BI(6-9yrs exp)
3. Dot Net, SQL(3-6yrs exp)
4. Dotnet framework, Asp.Net, C#.Net, SQL Server(3-6yrs exp)
5. .net, SQL, Angular(3-6yrs exp)
6. MVC .net,.Net core,API & SQL Server,Angular,Agular JS(3-6yrs exp)
7. .Net, ASP .Net, MS SQL Server, Agile, GitHub, ADO(3-6yrs exp)
8. ASP.Net, javascript, J query(3-9yrs exp)
9. MVC.Net, SQL, Jquery, DevOps, GitHub(3-6yrs exp)

 

 

We are looking for an SDET / QA automation engineer who is ambitious, hardworking and passionate about ensuring that the products we deliver provide a great experience to the end-users.

 

• Test execution, test result capture and assurance on quality
• Set up automation frameworks from Integrate testing systems with the CI/CD pipeline to create a seamless process for product delivery.
• Understand business requirements clearly, develop comprehensive test cases and create automation scripts for all functionalities of the product
• Ensure effective communication of project and testing status to development and design teams
• Work collaboratively with an agile team involving constant interaction with the developers, product owners, designers and key business stakeholders

 

 

• 3+ years of experience in automation testing
• Will be a plus if has experience in a product-based company
• In-depth understanding of Java, Selenium, Cucumber, TestNG
• Excellent designing and programming
• Understanding of manual and automation testing
• A focus on detail including automated tests and documentation
• Good communication skills
• Ambitious and passionate about QA
• A great teammate and self-starter that is comfortable working in a rapidly changing environment and taking initiative with limited resources
• Comfortable managing multiple assignments with competing priorities and tight deadlines
• Experience in DevOps is a plus
• Fast learner

 

• Hands-on experience at a well-funded and fast-growing company
• Work side by side with founders and get as much responsibility as you can take. You are the limit!
• Huge scope for career growth in QA as the venture expands globally with multiple products
• Come join us as a young leader and let’s build a large global business

 

Location: Remote.

 

 

We are a cloud-based logistics resource management (LRM) platform connecting manufacturers and their carriers to automate shipment procurement, tracking and invoice reconciliation. We combine the power of shipper’s data with our progressive machine intelligence software to drive down freight costs, optimize operations, automate invoice reconciliation and analyses performance. At GoComet (www. gocomet.com), we strive to help our employees find passion and purpose. Join us in changing the way the world works We are looking for an SDET / QA automation engineer who is ambitious, hardworking and passionate about ensuring that the products we deliver provide a great experience to the end-users.

Job Title: React_ Software Engineer Job Location: India
Job Summary
We Condé Nast are looking for React Developers who can design, develop, modify, debug
and/or maintain software code according to functional, non-functional and technical design
specifications and closely work with Data engineering, data science, and internal business
strategy teams as well as the CN suite of brands to develop Analytics Platform
Required Skills:
● 5+ Years of work experience.
● At least 2 Years of relevant work experience in React
● Experience in developing responsive Web Application Development
● Expert Programming experience in HTML, CSS, JavaScript and React JS
● Experience building reusable UI elements including trading grids, dialogs, and screen
navigation widgets
● Experience in Version control (Git)
● Demonstrated ability to work with remote team members, meet deadlines and work
in an agile environment
● Excellent communication skills Strongly Recommended:
● Experience with functional reactive programming methods (e.g. RxJS)
● Experience with async programming (e.g. Promises)
● Expert in React Hooks
● D3/other data visualization tools and libraries
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.

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.

Android Developer

 

Ability to design and implement and maintain highly complex systems and
subsystems.
● Writing well-designed, testable and efficient code.
● Designing and developing advanced applications for the Android platform.
● Working as a part of a dynamic team to deliver winning products.
● Troubleshoot, debug and optimize existing applications
.
Requirements:
● Bachelor's degree in Computer Science, related technical field or equivalent
practical experience
● Strong logical and analytical skills
● Should be adaptable and fast learner
● Experience in computer science, data structures, algorithms and software design.
● Experience in Software Development and coding in any general purpose
programming language.
● Should have an interest in android development

Location: Noida

We are Social.HR

 

An early-stage HR-Tech (SaaS) company. We aspire to be the leading self-driven career platform with intelligence. We are putting together a strong team of young individuals. The founders have the vision to create an intelligent, intuitive, and responsive career platform which gives you data-driven career insight and allows you to #BeTheBestYou

 

Who is?

 

An Intern will be our go-to person for all research and data-related aspects. You should be a hack who can get things done.

 

We Look for?

1. 1. Who is going to get hands dirty
2. An outside the box thinker
3. Who is not afraid to challenge the conventional wisdom
4. Moving decisively towards business goals
5. Flexible in managing work-life balance

 

Are you the right fit?

1. You are awesome at online research
2. You are driven to make documentation and audit look like a piece of cake
3. Full time must
4. Have graduated or finishing up the course

 

We offer

 

The intern role is fun and it lies at the intersection of business and technology with true upside potential. Initially, the compensation will be in the form of a stipend.

Roles & Responsibilities:

1. Strong knowledge of Asp.Net MVC, C#, MVC, JavaScript and JQuery.

2. Prepare and maintain code for various .Net applications and resolve any defects in systems.

3. Prepare test-based applications for various Dot Net applications.

4. Enhance existing systems by analyzing business objectives, preparing an action plan and identifying areas for modification and improvement.

5. Manage defect tracking systems and resolve all issues and prepare an update for systems.

6. Investigate and develop skills in new technologies.

Skills Required:

1. Proven experience as a .NET Developer or https://resources.workable.com/application-developer-job-description" target="_blank">Application Developer.

2. Familiarity with the http://asp.net/" target="_blank">ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)).

3. Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3.

4. Familiarity with JavaScript and JQuery.

5. Understanding of Agile methodologies.

6. Excellent troubleshooting and communication skills.

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