Lead Azure

Java back end developer

Chennai  

3+yrs

3 to 5 years Java,

Sprint Boot, Hibernate,

REST API Design Patterns SQL,

Oracle,

Table design

We are seeking a highly skilled and innovative 3+ years of experienced Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will play a key role in developing cutting-edge algorithms and models to create generative solutions that push the boundaries of artificial intelligence.

Key Responsibilities

1. Design, develop, and implement cutting-edge computer vision algorithms, encompassing areas such as image processing, object detection, and segmentation.
2. Leverage Generative Adversarial Network (GAN) models to synthesize novel data and enhance the quality of existing datasets.
3. Engage in collaborative efforts with cross-functional teams to seamlessly integrate AI-driven solutions into our product portfolio.
4. Spearhead initiatives to refine and optimize model architectures, ensuring top-tier performance and efficiency.
5. Stay at the forefront of AI and computer vision advancements, ensuring our solutions are consistently state-of-the-art.
6. Provide mentorship to budding data scientists, promoting a cohesive, inclusive, and knowledge-sharing team culture.

Qualifications:

1. A minimum of 3 years of specialized experience in computer vision, with a focus on deep learning. Proficiency in neural architectures such as CNNs, RNNs, Encoder-Decoders, and generative models including GANs and GPT is essential.
2. Demonstrated expertise in crafting, fine-tuning, and deploying AI models for real-world applications.
3. Mastery in programming languages, notably Python, and familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with image processing libraries like OpenCV and Pillow is a plus.
4. Exceptional analytical and problem-solving prowess, complemented by meticulous attention to detail.
5. Stellar communication and presentation abilities, with a knack for distilling intricate technical data into clear, actionable business insights.

Preferred Skills:

1. Hands-on experience with cloud platforms, especially AWS, and adeptness with container orchestration tools like Docker and Kubernetes.
2. Proficiency in version control utilities, particularly Git and GitHub.
3. Prior contributions to the AI research community, such as publications or significant community involvement, will be highly regarded.
4. Acquaintance with agile development practices.
5. A compelling portfolio showcasing a range of projects in computer vision and image segmentation is desirable

Front-end Developer with a passion for sustainability

• Git
• Angular
• Bootstrap, Material-UI, TailwindCSS or any other widely-adapted CSS library/framework
• Sass or other css preprocessors
• NgRx or other state management libraries
• StorybookJS
• Jest or other Javascript unit testing libraries

• Solid understanding and experience
• Cross-browser compatibility
• Front End optimisation
• Frontend architecture
• REST APIs and integrations
• Object Oriented Programming concepts
• Design Patterns
• TDD (Test Driven Development)
• Agile

• Any cloud provider services (AWS/Azure/Google Cloud etc.,)
• Docker or any other virtualization technology
• NodeJS (ExpressJS, LoopbackJS, HapiJS etc.,)
• Interface design tools like XD, Figma
• Developing REST APIs

Looking for a MEAN / MERN Stack Developer.

Looking for Someone with good experience with below skills.

* Minimum 3+ years of professional experience with any of the below stacks.

* Proven experience as a Frontend Developer (or) Backend Developer (or) Full stack Developer.

* Experience developing desktop and mobile applications.

* Familiarity with common stacks.

* Front-end – ReactJs, HTML/ CSS, JavaScript, Typescript, XML, jQuery.

* Back-end – JavaScript frameworks with Nodejs.

* Full Stack : ReactJs, NodeJs, HTML/ CSS, JavaScript, Typescript, XML, jQuery.

AWS, Linux, VMware, Vcenter, ESXI, AIX Patching, RHEL, PAM, Ansible, Networking, OS RHEL, Oracle, Filesystems

Title: Technical Support L3 - Partner Engagement

Department

Service Delivery India - Professional Services - Dedicated Tech - Dedicated Tech

Location: Mumbai

Good To Have Skills

Must Have Skills

Communication Skills, Customer Service, Teamwork (Written and verbal communication should be great)

Experience Level

5 - 7 Years (Min 3 yrs)

Continuous night shifts

Excellent Comm skills.

Troubleshooting of (AD & VMware at L2 level) OR (AD & O365 at L2 Level)

Rounds of interview:

Recruiter screening

Technical round 1

Manager Round

HR Discussion

Roles:

Administration and maintenance of Virtualization (VMware, Hyper-V)

Administration and maintenance of O365 email service, ADFS, and AD-Connect.

Administration and maintenance of Azure AD services.

Active Directory maintenance & management, clean-up.

Administration and maintenance of DNS, DHCP.

Administration and maintenance of different Backup Solutions.

Responsible for Business continuity and Disaster Recovery Planning.

Antivirus and Patch Management on Multiple Networks. Basic Networking.

support level - able to configure switches, routers and run debug sessions using common tools - Mandatory.

Need to work on multi domain tasks like Server Maintenance , disk space management , User creation , allocation of rights , mapping shared drives , backup failure troubleshooting, basic firewall troubleshooting ,

External Skills And Expertise

Fluent English speaker - written and verbal communication skills - Mandatory.

Service-oriented a team player and self-motivated.

Able to work independently and take decisions. Demonstrated ability in managing priorities in a fast-paced environment.

High attention to detail, with the ability and passion to troubleshoot complex problems.

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.

Role

• Work as part of a small team to build React Native iOS / Android applications.
• Design, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Integrate third-party API's.
• Developing new user-facing features using React Native.
• Building reusable components and front-end libraries for future use
• Translating designs and wire-frames into high-quality code
• Optimising components for maximum performance across a vast array of android and ios devices.
• Release applications to IOS and Google Play stores.
• Work with native modules when required.

Skills

• Strong proficiency in React Js, React Native, JavaScript, TypeScript, Object Oriented Programming - 2+ years of professional experience working with React Native
• Deep knowledge of component state management experience (specifically in React Native)
• Familiarity with native build tools, like XCode, Gradle
• Good understanding of Redux
• Ability to work through new and difficult React Native issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of React Native applications.
• Ability to understand business requirements and translate them into technical requirements
• A knack for bench-marking and optimisation