Machine Learning (ML)
Deep Learning
PythonAbout 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its
clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha,
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Job Role - Social Media Executive
Experience Level - 1 year
Location - Bangalore
Responsibilities:
● Create Campaign Strategies and monitor the execution to achieve the brand objective
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● Managing and Supervising Facebook ads, Instagram Ads, Twitter Ads, and Linkedin Ads
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● Stay up to date with the latest social media best practices and updates
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Responsible for handling sales, distributors, and market growth in the assigned area.
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Angular (2+)
NodeJS (Node.js)Design and develop frontend applications using Angular (v10+).
Build and maintain RESTful APIs using Node.js and Express.js.
Develop and manage MySQL databases including schema design, query optimization, and stored procedures.
Integrate front-end UI with backend services.
Collaborate with product managers, designers, and other developers to deliver high-quality software.
Participate in code reviews, testing, and debugging.
Optimize application performance, scalability, and security.
Write clean, maintainable, and well-documented code.
Follow Agile/Scrum methodologies and contribute to sprint planning and daily stand-ups.
3-5 years of experience in manual and auto testing through Selenium
Write all automation scripts for Backend and Frontend
Document Test Cases.
- Develop and maintain automation suite throughout the product life cycle.
- Develop data driven test automation scripts and execute tests.
- Utilize innovative test technologies to develop application testing strategy.
- Analyse and debug the test data to identify the root cause of failures.
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1.Pre-Flight Inspection:
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2.Flight Planning:
● Plan the flight route based on mission objectives, considering factors like altitude, weather conditions, and airspace regulations.
3.Safe and Efficient Flight Operations:
● Monitor drone telemetry data during flight (e.g., battery level, GPS signal, altitude, and speed).
● Ensure real-time communication with ground personnel and provide situational updates as necessary.
4.Emergency Procedures:
● Be prepared to handle emergencies such as low battery, lost GPS signal, or malfunctioning sensors.
● Execute safe and controlled emergency landings if required.
5.Post-Flight Data Handling:
● Safely retrieve the drone and perform a post-flight inspection, checking for any damage or malfunctions.
● Offload data collected during the flight, ensuring secure storage and proper labeling.
● Provide a detailed flight report, documenting any issues, flight conditions, and mission outcomes.
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● Should have knowledge of basic photography to handle camera settings for manual mode.
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● A drone pilot should be familiar with drone hardware and software, including drone flight controls, GPS systems, and camera setups.
● Can take rapid decisions (depending on situations)
Sales Officer Responsibilities:
- Calling potential customers to explain company products and encourage purchases.
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- Developing in-depth knowledge of company products.
- Maintaining an accurate record of all sales, scheduled customer appointments, and customer complaints.
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Amazon Web Services (AWS)About The Company -
OYO Hotels & Homes is the world’s third largest and fastest-growing chain of leased and franchised hotels, homes & spaces managing over 1 million exclusive rooms across 800 cities and 80 countries. OYO was founded on the mission that everyone deserves a quality living and working space and we are very passionate about this mission. Technology and Innovation plays a critical role in this mission and therefore today we employ World Class engineers, product managers and designers across core markets & geographies. If you are looking for a high pace environment, itching to create a large impact through technology impacting 100s of millions of customers across the globe, we love to hear from you.
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- Conducting application(Web & Mobile) and infrastructure penetration testing assessments.
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- Strong experience with Azure or AWS cloud environments and its security controls.
- Experience with microservices architectures & distributed Platforms
- Strong experience with using Agile software development and securing CI/CD pipeline.
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Python
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Full Stack Developer - Averlon