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
About Turing
About
Connect with the team
Company social profiles
Similar jobs
Roles and Responsibilities:-
1. Developing, generating, and growing new digital marketing business
2. Creating innovative online marketing sales plans
3. Exhibiting expertise in digital marketing solutions
4. Selling services like SEO, SEM, PPC, social media, online reputation management, etc. (for the US and Canada locations)
5. Maintaining accurate and up-to-date pipeline and forecasts
Desired Candidate Profile:-
1. The position demands an entrepreneurial-minded individual with high energy and a strong motivation to sell (we like increasing numbers)
2. A strong candidate will have excellent sales and closing skills
3. Strong organizational skills and ability to handle multiple tasks and priorities
4. Demonstrated time management skills
5. Knowledge of digital marketing/SEO services will be a plus
6. Excellent communication skills
Why should you join us:
· Fixed working timings- 5 days working
· Attractive Incentives
· Young & Vibrant work culture
Job Location: Block A-128, Sector-63, Noida
Salary Package: Depends on skills
Working Days: Monday to Friday
Shift: Night Shift
About Graygraph Technologies:
Graygraph Technologies LLC is an IT services provider company that has skills and expertise to facilitate complex business solutions. We offer services like staffing solutions, software development, web development, Content Management Solutions, and Creative Design from the very beginning until the end. Our overall process includes concept, design, development, incorporation, and implementation. We have a squad of experts, who are working on modern technologies and tools with vast experience to carry out web-based projects.
To know more, please visit our Websites:
www.Graygraph.com
www.DigitalGuider.com
Regards,
Yashika Thakur
HR Recruiter
at Graygraph Technologies
Amazon Web Services (AWS)
Docker
Kubernetes- At least 5 year of experience in Cloud technologies-AWS and Azure and developing.
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
React.js
Redux/FluxJob Description:
Deep understanding of JS basics and advanced features (ES6) (5+ years)
Deep understanding of basic and advanced HTML5 / CSS3 features (5+ years)
Hands-on experience developing scalable applications using React JS (preferably using functional components) (2+ years)
Proficiency in using hooks-based approach in react development
Hands-on experience developing UI components using Material UI for React JS (2+ years)
Experience with any of the state management libraries for React JS – Redux, Context API, Mobx etc
Experience with unit testing using Jest, Enzyme, React Testing Library etc
Experience with responsive design, progressive web apps and accessibility.
Knowledge about platform tools such as NPM, Git command-line tool and AWS.
KubernetesDockerResponsibilities:
- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.
- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.
- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.
- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.
- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.
- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.
- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.
- Ensure high availability, performance, and security of cloud infrastructure and applications.
- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.
- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.
- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.
- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.
- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.
- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.
Important: Please note there are no Cisco, Juniper or any other proprietary devices to be administered. We are looking for candidates willing to work on GNU/Linux powered network equipment.
We at Unmukti build network equipment and provide managed network services to organisations having geographically dispersed locations across the country.
Our equipment run GNU/Linux firmware but still the networking concepts remain the same.
For the impatient, we need following skills:
- Debian/Ubuntu GNU/Linux
- iptables / nftables
- Squid / ICAP
- OpenVPN
- Wireguard
- Snort / Suricata
- Postgresql
- git
- patch/diff, ./configure, make
- OSPF & BGP on BIRD or Quagga
- ansible
- bash / Perl / Python / Go
Now in detail:
We have servers to be managed, databases to be administered, embedded devices to run GNU/Linux and customers to be supported who are using those devices for various networking services that we provide.
We want someone with experience on Debian or Ubuntu as primary OS, knows networking concepts . Bonus if you know your way around to automate stuff with bash/Go/Perl/Python etc.
Experience in Network Design for connecting large number of geographically distributed locations ( >= 20 is considerable, though >=200 would be great) and understanding of routing protocols like OSPF and BGP will be an added advantage.
You get insights into networking (wireless too), network security and product development.
Along with that, you will have to design and support be-spoke deployments and handle operational issues on a day-to-day basis.
PythonMachine Learning (ML)Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes
Go Programming (Golang)Python
Ruby on Rails (ROR)
NodeJS (Node.js)• Leading multiple projects end-to-end and collaborates across
functions. Driving planning, estimation and execution.
• Managing stakeholder expectations and offers scalable, reliable and easy to maintain
solutions
• Consistent delivery of complex and well backed products in time
• Delivering well thought technical/design decisions
• Demonstrating effective communication with project team,
management and internal/external clients as necessary.
• Surfacing both technical and non-technical challenges and help resolve them
• Leading SDLC best practices
• Driving people to solve engineering challenges
• Building and leading high performance team
- Computer assembling and dis -assembling.
- Hardware troubleshooting of desktop, laptop, server machine.
- Microsoft Windows Servers (2008,2012, 2016 ) operating system installation and troubleshooting
- Microsoft Windows ( XP, 7, 8, 10) operating system installation and troubleshooting.
- Various email client installation and troubleshooting.
- Development software (.Net Framework, MS SQL server / client, Visual studio) installation and troubleshooting.
- Linux ( Ubuntu, CentOS ) installation and troubleshooting. ( Mandatory )
- Various software installations on linux platform.
- Network LAN and WAN troubleshooting.
- VPN management
- Knowledge of Virtualization
PythonNodeJS (Node.js)React.jsPython
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon