

CyntraLabs is focused on providing organizations unified solutions to maximize the business value by utilizing the capabilities offered by emerging technologies. We take pride in providing state-of-the-art solutions in integration and retail that guarantee success in business evolution. Businesses must transform to stay relevant, hence we provide our existing and new partners with foresight to Become agile, Realize new growth opportunities and Adapt to new technologies.
Key Responsibilities:
1. Design and develop MuleSoft and Azure architecture solutions based on client requirements
2. Work with clients to understand their business needs and provide technical guidance on MuleSoft and Azure solutions
3. Collaborate with other architects, developers, and project managers to ensure seamless integration of MuleSoft and Azure solutions with existing systems
4. Create and maintain technical documentation for MuleSoft and Azure architecture solutions
5. Perform architecture assessments and provide recommendations for MuleSoft and Azure solutions
6. Implement MuleSoft and Azure best practices and standards for architecture, design, and development
7. Develop custom MuleSoft and Azure components, connectors, and templates to support project requirements
8. Participate in code reviews and provide feedback to other developers
9. Provide technical leadership and mentorship to other MuleSoft and Azure developers
10. Stay up-to-date with MuleSoft and Azure technology trends and best practices
11. Assist with project scoping, planning, and estimation
12. Communicate with clients to understand their business requirements and provide technical guidance
13. Work on Azure-specific projects, including infrastructure architecture, security, and monitoring
14. Design and implement Azure solutions such as Azure Logic Apps, Functions, Event Grids, and API Management
15. Work with Azure services such as Azure Blob Storage, Azure SQL, and Cosmos DB
16. Integrate MuleSoft and Azure services using APIs and connectors
Eligibility:
1. A Bachelor's degree in Computer Science or related field is preferred
2. 8-10 years of experience in software development, with at least 3 years of experience in MuleSoft and Azure architecture and design
3. Strong understanding of integration patterns, SOA, and API design principles
4. Experience with Anypoint Studio and the MuleSoft Anypoint Platform
5. Hands-on experience with MuleSoft development including creating APIs, connectors, and integration flows
6. Understanding of RESTful web services, HTTP, JSON, and XML
7. Familiarity with software development best practices such as Agile and DevOps
8. Excellent problem-solving skills and ability to troubleshoot complex technical issues
9. Strong communication and interpersonal skills
10. Ability to work independently as well as in a team-oriented, collaborative environment
11. MuleSoft certification as a Solution Architect and Azure certification as an Architect is preferred

About cyntralab
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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.
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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
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- 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.
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We’re looking for an experienced (2+ years) full stack developer to build web applications and API's, who will be responsible in handling various B2B clients, developing new API's working with business and product teams and, building data pipelines and storage systems for large amounts of data.
Your responsibilities will include:
• Build a framework for handling large volumes of data.
• Scaling API's with lowest response times.
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• Cross-team communication and translating into products.
• Develop and deploy new features to facilitate related procedures and tools if necessary
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• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
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• Good python scripting and hands-on experience with Django framework
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• Back-end: Proficient in developing APIs across different platforms of web application servers. Experience in web server technologies in Django/Python is necessary.
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• Front-End: Good understanding of front-end technologies, such as Object Oriented JavaScript, HTML5, and CSS3. Should have knowledge of Angular JS, Bootstrap, Express JS, Node JS etc.
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