SDET Engineer

Looking for Web application developer for leading manufacturing company
Candidate with 2+years of experience
Candidate with lesser notice period(45-30 days)
Proficiency in Oops Concepts and C# (Professional)
 ASP.NET MVC | ASP.NET Core | EF Core | MVC applications (Advanced)
 Entity Framework | ADO.NET (Moderate)
 Proficient knowledge in MSSQL | PostgreSQL | Oracle | LINQ | Couch base (Moderate)
 Database design including indexes and data integrity
 Dependency injection , IoC containers using: Autofac , Handlers,
 Understanding of HTML, JS, and CSS
 Client side framework jQuery | Typescript| Angular 3.*+ (Moderate)
 Knowledge in micro services architecture using service brokers would be an added advantage
 Knowledge of cybersecurity aspects on application development would be added advantage
 Should be able to identify application performance bottleneck and solve / recommend solutions
 Develop, perform unit testing
 Working knowledge on source control GIT Lab
 Project management using JIRA

Should be Graduated in the year (2021/2022) (BE/B.Tech, MCA, M.Tech)

-Good in aptitude and problem-solving skills

-Excellent in communication(Mandate)

-Passion to work in the tech industry

-Good to have exposure/trained/certified on any tech skills

About us : Panamax Inc., the technology arm of Bankai Group, is a global leader in FinTech, 1.2 Billion Dollar Revenue, 800 Employees, Presence is worldwide 12 Countries Telecommunication, and Consulting services for telecom operators, carriers, MNOs and MVNOs. Headquartered in New York, it was established in the year 2001. The company has worked with some highly reputed clients over the years and has gained invaluable insights that have helped us optimize our telecom and technology turnkey solutions. Our solutions and services are specifically designed to ensure a seamless integration with the existing ecosystems of our potential clients. We're proud to have a 4.4 Glassdoor rating from our employees. We are hiring a Recruiter to join the Panamax Inc. team. If you're hard-working and dedicated, Panamax Inc. is an excellent place to grow your career. Apply today!

Mandatory Skills:
Minimum 3+ years of experience
Solid and proficient skills in Java, Spring Framework, JDBC
Solid and proficient skills in Angular 6+
Strong foundation in Restful design practices
Experience in Unit Testing, Data Mockup and Automation Test
Strong communication
Knowledge of Control M

Good to have:
Knowledge of Scrum and Agile
Knowledge of DevOps tooling (e.g., Jenkins, Git, Maven)
Knowledge of basics of Cloud Computing
Knowledge of Python
Knowledge of Jenkins

Location: Hybrid / Remote

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.

We are looking for an ideal candidate who will lead our marketing activities. The mission of an Assistant SEO (Search Engine Optimization) Manager is to maximize the volume of inbound organic traffic from search engines to our business websites. This will be accomplished through a combination of on-page and off-page techniques, including link-building, social media strategy, viral marketing, metadata sculpting, site speed optimization, content strategy, information architecture, and more.

As Assistant Manager, you are responsible to lead the marketing team and suggest them the best marketing techniques for social media and other digital media campaigns. You should grab the attention of customers and market the products and services.

If you have the ability to utilize the organizational resources optimally for the business promotion activities, we would like to meet you.

Roles and Responsibilities:

• Reviewing and analyzing websites for areas that can be improved and optimized
• Preparing detailed strategy reports and Marketing Plans
• Identifying powerful keywords to drive the most valuable traffic
• Writing powerful calls to action to convert visitors
• Filling websites and other content with effective keywords
• Developing link-building strategies;
• Ensure that the website, promotional material, and marketing campaign strategy are updated regularly.
• Analyzing keywords and SEO techniques used by competitors
• Keeping updated on both white hat and black hat SEO strategies to avoid staying within search engine guidelines
• Build and execute social media strategy through competitive research, platform determination, benchmarking, and messaging and audience identification
• Develop, implement and manage the marketing strategy
• Designing and measuring the success of every marketing campaign.
• Stay up to date with the latest marketing practices and technologies.
• Collaborate with the Marketing, Sales and Product Development team Communicate with industry professionals and influencers via social media to create a strong network.
• Create content marketing campaigns to drive leads and subscribers Use SEO best practices to generate traffic to our site
• Keyword research for the Addition of service based webpages on the website
• Ensure uploading of webpages on the Website through the SEO team.
• Perform Lead analysis daily to closely work for the end user needs from the website and to create campaigns accordingly.
• Experience in Email Marketing tools like Mailchimp
• Ability to plan Email calendars and schedule emails as per the plan.
• Guide the designing and content team for Email design and content along with other design and content-based changes needed on the website.
• Manage the ORM of the brand and work on creating a positive image of the Brand online along with mitigating the negative reviews.
• Closely coordinate with cross-functional teams to keep the website updated.

 

Job requirements and qualifications:

• Demonstrated SEO experience of at least 8-10 years.
• Strategic Understanding of Social Media and its usage in Marketing
• Experience with Google's Keyword Tool
• The ability to work with back-end SEO elements such as .htaccess, robots.txt, metadata, site speed optimization, and related skills
• Proven success in link-building and viral strategies
• The ability to deploy an effective local and long-tail search strategy
• Experience in building inbound organic search traffic and improving SERPs
• Expertise in Google Analytics, Google Search Console, SEMRush, Ahref’s
• Ability to make SEO proposals
• Ability to perform SEO Audit

 

Software Business Analyst freshers Frehser BE - With higher Academics percentage Or BSC with excellent educational background. Planning and monitoring. Eliciting requirements. Requirement Gathering Strong Communication Skill

About the role: 
1. Eligible provides fully integrated liability calculators for its customers. You will work on everything from designing new features, refactoring existing libraries to browser-specific tweaks. 
2. You will be responsible for maintaining/updating both our internal and external websites.
 3. You will be working with our product engineering and design team.
 4. Everything is secondary to the customer experience. We expect you to have a keen sense of how your code will impact the experience in terms of performance, security, and usability. 
5. Communication is the key in remote teams.
 6. You will have opportunities to learn full stack and frontend development through peer mentorship and collaboration.
 7. You will have to write extensive tests for the code you are writing. 

 About you: 
1. Experience with modern JS development practices. 
2. Worked on JS projects at scale. 
3. Able to write readable and maintainable code. 
4. Great communication skills, should be able to present your doubts in a clear and concise way. 
5. Strong understanding of good CSS patterns with a comfort using pre-processing platforms, such as LESS and SASS
 6. Not intimidated by amending Webpack or structuring NPM builds. 
7. Excellent problem-solving skills. Understanding customer requirements, and coming up with the solution. Always talk about X (problem requirements) first.
 8. Knowledge of Rails/Ruby is a plus.