Automation Tester

• Graduation in planning/ engineering /environment management / water resource management /planning / science and preferably with a master's degree in relevant field.

• Should have experience of working in sanitation projects. Herein sanitation will include both solid & liquid waste management.

• Assist in revision and conceptualization of other incremental interventions that will improve the experience of pilgrims.

• Support the Authority in Open Defecation Free (ODF) and odour free with adequate toilet facilities.

• Support in financial sustainability, including cost optimisation and improving overall performance of the Client.

• Assist in sector-wise citing of toilets in Mela area.

• Drafting SOPs for installation, Operation and maintenance of multiple inventories of toilets like FRP (Fiber-Reinforced Plastic) toilets, Stainless Steel toilets, Kannath Toilets, Mobile Toilets, Tin toilets, Urinals etc. ensuring compliance to NGT guidelines.

• Capacity building of the Swacchagrahis (Sanitation Volunteers) through regular trainings and orientations for Clean, Open Defecation Free and odour free Mela.

Professional & Technical Skills: 

- Must To Have Skills: Proficiency in Microsoft Dynamics 365 Commerce Technical.

- Strong understanding of application development methodologies.

- Experience with integration of Microsoft Dynamics 365 with other systems.

- Ability to troubleshoot and resolve application issues effectively.

- Familiarity with user interface design principles and best practices.

Additional Information: 

- The candidate should have minimum 3 years of experience in Microsoft Dynamics 365 Commerce Technical.

• Make outbound calls to customers/prospects.
• Explain products or services and answer queries.
• Generate leads or close sales over the phone.
• Maintain customer records and update CRM.
• Follow up on leads and ensure customer satisfaction.
• Achieve daily/weekly/monthly targets.

Role & Responsibilities

You will communicate with all the team members to establish a pipeline and integrate art assets, taking into account the game roadmap.

You will work closely with the game designers and artists to enable the designers and artists to express their creativity within the game.

You will assist your project lead by providing regular feedback on implementation issues and possible improvements to game design.

You will actively suggest and implement the best solutions in the development process and in the game systems. Also, you will address bugs and other technical issues identified for subsequent release.

You will be responsible for technical documentation.

Requirements

At least 1 year of experience with Mobile/Unity3D platform and ecosystem.

Excellent knowledge of programming languages such as C++, C#, React.JS , JAVASCRIPT or Java.

Good knowledge of computer science fundamentals & concepts.

A natural flair for writing well-structured, optimal, and maintainable quality code.

Basic understanding of programming best practices.

Experience on Unity UI and animations.

Exp with Android & iOS game development

Good communication skills.

Familiarity with build systems.

Knowledge of using version control systems like Git.

Experience using debugging and profiling tools.

Passionate about games, especially in playing mobile games.

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing React web apps to React Native.

• Firm grasp of the JavaScript (and TypeScript or ClojureScript) language and its nuances, including ES6+ syntax
• Knowledge of (functional or object-oriented) programming
• Ability to write well-documented, clean Javascript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools, like XCode, Gradle (Android Studio, IntelliJ)
• Understanding of REST APIs, the document request model, and offline storage
• Experience with automated testing suites, like (Jest or Mocha)

• Reviews design specifications to understand the scope, requirements, and function of the software product.
• Preparation of test data and execution of test cases (including functional, system, regression, performance, API and database layer etc.)
• Identifies appropriate processes, parameters, functions, and data to test and validate; parameters may include general function, the validity of results, accuracy, reliability, and compliance with industry standards.
• Lead and participate in test case reviews with Business, Developers, other team members
• Estimate, prioritize, plan and coordinate testing activities
• Ensure that user expectations are met during the testing process
• Design, develop and execute automation scripts using open source tools
• When a product does not perform within specifications, reporting defects to programmers while identifying and recommending solutions, improvements, and updates.
• Identifies, logs, and recreates error codes, bugs, and defects.
• Draft quality assurance policies and procedures
• Investigate production issues
• Conducts testing to ensure products perform according to product requirements and within established guidelines.

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.