QA Sr. Engineer - Appium

Roles and Responsibilities:
Primary Responsibilities
1. Responsible for working with the tech lead and coding the assigned tasks.
2. Responsible for delivering the assigned tasks with the highest quality on time.
3. Responsible to code and documenting for required projects.
4. Responsible for submitting Daily/weekly status reports to the Tech lead.
5. Responsible for debugging, troubleshooting the bugs and fixing them.
Secondary Responsibilities
1. Responsible for attending internal SCRUM meetings.
2. Responsible for peer review.
3. Interaction with the Tech lead, Product Owner, and QA team.
4. Experience with full Software Development Life Cycle (SDLC) and Agile Methodology.
Eligibility:
Angular (10+), Angular JS, Web API, C#, Asp.Net (Asp.Net Core & Angular), Azure DevOps, Webservices,
Windows services

Roles and Responsibilities:

1. Identifying potential clients and partners, and reaching out to them to understand their requirements and counsel the students to choose Skill Dunia courses.
2.  You will be responsible for managing relationships with existing clients and partners, as well as developing new relationships to help drive business growth.
3. You will be responsible for managing the entire sales process, from lead generation to closing deals. This may include creating sales opportunities, negotiating, managing the onboarding process for new clients and taking referrals to create new business ideas
4. Build sales lead through referrals and cold calling to generate sales (monthly target/revenue-oriented)
5. Collaborate with the Sales and Marketing team to plan and oversee new marketing initiatives

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.

Skill:
> Team Management & Delegation
> Customer Management
> SAP SuccessFactors Knowledge (EC or ECP preferable)
> Identify new opportunities in the designated accounts

Job Description:
> You will be assigned 4-5 large SAP SF customers who have already implemented SF.
> Managing Support Consultants to handle customer requests/tickets analyse recurring problems to decrease volume of tickets
> Propose new and out of the box solutions within SAP SF to customers and manage any escalation.
> Identify new opportunities at the customers based on existing pain-points & proposing effective solutions available within SAP SF.

This role demands a mix of team delegation, customer first approach, out of the box solution thinking and business acumen to upsell additional SF modules.

About Rolling Arrays Consulting:
Rolling Arrays provides HR Software and HR System Implementation Services (SAP SuccessFactors, Qualtrics, Reimburse, CICO, eFile, eAuthoring) to Clients in Singapore, Malaysia, Australia, UAE, Hong Kong. Rolling Arrays (RA) was featured as Singapore’s Top 75 fastest growing companies by the leading newspaper of Singapore - The Straits Times in 2021 where RA was ranked 48.
Rolling Arrays has 2 lines of businesses:

HR System Implementation Services:
Rolling Arrays is regarded as number ONE mid-size firm in the South East Asian Market with a strong track record of 12 Years and more than 200 enterprise level HR Technology Implementation projects till date.

HR Software Products in Rolling Arrays’ portfolio (partner’s products and own products):
• SAP SuccessFactors (World’s leading End to End Cloud HR Software solution)
• Qualtrics (World’s leading Experience Management Software)
• Reimburse (AI Enabled Travel & Expense Management Software for Enterprises)
• CICO (Intelligent Time Capture Machine, a software alternative to Physical Biometric Devices)
• eFile (Digitize and contextualize all employee documents in one place)
• eAuthoring (Author and publish your own learning content to capture tacit knowledge in the organization)

Work location: Whitefield, Bangalore
Work days: Sunday to Thursday
Day shift
http://www.fragmadata.com" target="_blank">www.fragmadata.com

Job Description:

We are looking for a Business Data Analyst who will help our business and leadership teams take data-centric decisions based on information and insights gained from analyzing a vast amount of data. - Candidate should have knowledge in SQL and manipulating large data sets in a database. - Advanced Excel proficiency including Pivot tables, vlookup / hlookup, graphs, etc. - Knowledge and experience in the Banking industry are preferred.

Key Responsibilities:

1. Will be the point of contact for reporting/data management needs and will be responsible to drive complex data analysis and propose improvement opportunities in existing tools and reports.

2. The Business Analyst will be responsible to establish best practices in data management, data visualization, and report distribution.

3. Understanding requirements and converting them into technical and business delivers.

4. Leverage data warehouse and other data sources to answer business queries.

5. Doing the ad-hoc analysis and presenting results in a clear manner.

6. Should also be responsible for coordinating with the development team and will be involved in reviewing and making final changes in the report as well.

Required Skills: • Proven software development experience in PHP • Deep knowledge of PHP frameworks like Laravel, CI, CakePHP • Must have worked on any e-commerce platform like Magento, OpenCart, Woocommerce etc. • Must have experience with Payment Gateways like Paypal, Stripe, Braintree etc • Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX etc • Good knowledge of relational databases, version control tools and of developing web services • Experience in common third-party APIs (Google, Facebook, Ebay etc)