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Key Responsibilities
• Lead the automation testing effort of our cloud management platform.
• Create and maintain automation test cases and test suites.
• Work closely with the development team to ensure that the automation tests are integrated into the development process.
• Collaborate with other QA team members to identify and resolve defects.
• Implement automation testing best practices and continuously improve the automation testing framework.
• Develop and maintain automation test scripts using programming languages such as Python.
• Conduct performance testing using tools such as JMeter, Gatling, or Locust.
• Monitor and report on automation testing and performance testing progress and results.
• Ensure that the automation testing and performance testing strategy aligns with overall product quality goals and objectives.
• Manage and mentor a team of automation QA engineers.
Requirements
• Bachelor's degree in Computer Science or a related field.
• Minimum of 8+ years of experience in automation testing and performance testing.
• Experience in leading and managing automation testing teams.
• Strong experience with automation testing frameworks including Robot Framework.
• Strong experience with programming languages, including Python.
• Strong understanding of software development lifecycle and agile methodologies.
• Experience with testing cloud-based applications.
• Good understanding of Cloud services & ecosystem, specifically AWS.
• Experience with performance testing tools such as JMeter, Gatling, or Locust.
• Excellent analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and in a team environment.
• Passionate about automation testing and performance testing.
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About Techvibz LLP
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The responsibilities would include, but not be limited to, the following:
Financial Reporting: You will be providing timely and accurate financial reporting to management together with strategic insights on the company s financial position.
Accounting Systems and Processes - Understanding requirements, identifying, evaluating and implementing the most suitable accounting system/ tools needed to support the accounting needs of the organization
Implementing best in class accounting practices and Internal Control procedures considering:
- Accounts Payables - Purchase to Procurement Cycle & Policies, SOPs and SLAs
- Accounts Receivables - Billing Processes and Systems to raise timely invoices and perform ageing analysis
- Revenue and Cash Reconciliations and suggesting and implementing SOPs and SLAs
Financial Closure - Ensure timely and accurate monthly closures. Consistent analyzing of financial data and presenting financial reports in an accurate and timely manner; clearly communicate monthly, quarterly, and annual financial statements; monitor progress, changes and keep senior leadership abreast of the financial status;
Audit - Ensure timely year end financial closures – Statutory, Tax and IFC. Handle end to end audit process and ensure timely completion of audits
Compliances and knowledge - Understand the applicability and ensure compliance with all the relevant statutes impacting the company. Keep abreast with all regulations impacting the companies accounting, compliance and reporting requirements as well as those impacting the company’s operations. Understanding of Income Tax, GST, imports and exports, FDI Regulation, Companies Act, and other tax regulations
Automation - Identify and implement processes to automate all routine repetitive tasks.
Assisting leadership in the annual budgeting and planning process; administering and reviewing all financial plans and comparing to actual results with a view to identifying, explaining and correcting variances as appropriate;
Leveraging strengths of the finance team members; providing clarity on the roles and responsibilities; developing and implementing training programmes to maximize and help them reach optimal individual and organizational goals;
Responsibilities
- Clarify feature requirements with product team
- Design end to end feature flow
- Write scalable and bug free code
- Take care of test and deployment pipeline
- Maintaining the existing products
Skills And Qualification
- Must have experience with any scripting language (Javascript/NodeJS preferred)
- Experience with API-driven and highly scalable application is a plus
- Good knowledge of non relational DB (MongoDB preferred)
- Good with data structure and algorithms
- Good to have an experience with testing framework and CI/CD pipeline
Knowledge about Autocad, solid works, Revit, Staad pro,
and mechanical software,
Qualification: B.tech, Diploma
Games2win World :
Games2win is a leading global mobile games publisher. Our games have over 400 million downloads and are played by over 15 million monthly active players. We take pride in building our own Intellectual Property (IP) and using the strength of our consumer love to market our games! That’s why most of our downloads are generated without advertising support or paid installations.
A few of our global hit titles are Driving Academy, Decisions, International Fashion Stylist, and many more.
To learn more about us, visit https://games2winmedia.com/company-profile/">https://games2winmedia.com/company-profile/
Based in: Mumbai / Remote
As a UI/UX Artist, you will be working on the overall user experience of the game in all aspects and phases of production, you propose solutions to translate game design requirements into usable and memorable graphical user interfaces
What do you need to do? (Role and Responsibilities)
- You will work closely with the Product Managers and Game Designers to create clean, clutter-free, user-centric, trendy and easy to understand user interfaces (UI) for mobile games.
- You need to be dedicated to researching and playing hundreds of mobile games to understand best practices in the Industry.
- Work on the UI design (Flows, Menus and HUDs) as per requirements.
- Explore and create high fidelity mockups and then the individual graphical elements needed for mobile screens, including iconography.
- Create wireframes or modify existing screen flows based on design specifications or feedback.
- Apply and maintain a consistent look and feel throughout the UI.
- Ability to make design decisions and take on design problems independently, present and sell design concepts.
Who could you be? Background and Experience:
- You should have a background in graphic design/interaction design/HCI related areas. You should have at least 4-5 years of experience in mobile games/apps.
- At least shipped 5 apps/games as an UI/UX Artist.
- You are proficient with prototyping tools such as Axure, Adobe XD, Figma, Sketch, Photoshop, Illustrator or other software for creating flowcharts, wireframes and Final UI Design mock-ups.
- Hands-on experience or knowledge of Unity 3D is a plus.
- Strong foundational graphic design skills (colour theory, composition, typography etc).
- Possess an excellent understanding of visual design principles, style guidelines, design processes, and creative workflow.
- Bring art to life while improving the UX with visuals.
- Excellent communication skills and high attention to detail.
- Ability to give and receive constructive criticism and critique with a focus on improving quality
- Team player with a great attitude & love for mobile games
Educational Qualifications:
- Bachelor’s degree in graphic arts, interaction design, or equivalent industry experience in the design field.
About the Role:
We're looking for a growth-oriented leader to own and lead the Digital Marketing function at Impact Guru. You are the ideal candidate if you are comfortable with continuous experimenting and learning and are obsessed with data. You're not afraid to try new methodology and can deliver useful insights by effectively and quickly adapting to data.
Reports to: VP - Markeing
Responsibilities:
- Launch and optimize performance marketing campaigns across Facebook, Youtube, Google Search, Google Display, Mo-Engage, Native Channels & Affiliate Marketing.
- Managed a monthly spends of INR 50+ Lakhs
- Working experience of working on New Acquisition, Remarketing & Retention campaigns
- Own end-to-end execution, measurement, reporting, and optimization of campaigns across channels with goals to increase New users Acquisition, Scale GMV across the campaign and deliver platform GMV & ROAS
- Working Proficiency in Google Analytics, Google Tag Manager, SQL, Excel, and creating data visualizations on data studio or Tableau.
- Build and Manage a team of 4-5 Performance Marketing specialists. Drive performance marketing KPI’s to deliver on Business metrics
- Maintain a data-first approach through continual experimentation and optimization to meet and exceed strong company goals (a/b testing, etc.)
- Be proactive, have a passion for improving business
Skills Required:
- 3-4 years of industry experience (agency or editorial) is a plus.
- Bachelor’s degree in Engineering, Media Communications, Business Administration, Journalism, English, or related Fields from Tier 1/Tier 2 colleges.
- In-depth knowledge of Google Adwords, Facebook Ads & Google Analytics.
- Excellent problem solving & analytical skills.
- Strong quantitative skills with a knack for translating numbers into actionable insights and creatives.
- Ability to multitask in a fast-paced work environment.
- Punctual and dedicated to meeting goals & deadlines.
- Able to effectively work independently, and as part of a team.
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About Turing:
Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.
We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:
- Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
- Executives from Google, Facebook, Square, Amazon, and Twitter
- Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
- Cyan Banister
- Founder of Upwork (Beerud Sheth)
We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month.
Some articles about Turing:
- https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
- https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
- https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
- https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.
Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.
About the role:
Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us.
We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc.
A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job.
You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words.
As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).
This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&hl=en">Google Scholar profile.
Responsibilities:
- Enhance our existing machine learning systems using your core coding skills and ML knowledge.
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
- Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
- Design features and builds large scale recommendation systems to improve targeting and engagement.
- Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.
Minimum Requirements:
- BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
- Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
- Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
- 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
- Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
- Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Good understanding of mathematical foundations of machine learning algorithms.
- Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).
Other Nice-to-have Requirements:
- First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals.
- Strong performance in Kaggle competitions.
- 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
- Strong communication skills.
- Experienced in leading large-scale multi-engineering projects.
- Flexible, and a positive team player with outstanding interpersonal skills.
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