QA

We are seeking a skilled Senior Software Development Engineer (SDE-3) proficient in MERN stack technologies to join our dynamic team.

Responsibilities:

• Design, develop, and maintain scalable web applications and services using MERN stack technologies (MongoDB, Express.js, React.js, Node.js) and Nest.js.
• Implement frontend components and user interfaces using React.js and Next.js.
• Develop and integrate server-side logic using Node.js, Express.js, and Nest.js.
• Utilize MongoDB and SQL databases to manage and optimize data storage solutions.
• Implement real-time communication and event-driven architectures using technologies like Socket.io.
• Deploy applications on AWS cloud infrastructure, leveraging services such as EC2, S3, Lambda, DynamoDB, and others as required.
• Ensure code quality, performance, and adherence to best practices through code reviews and automated tests.
• Collaborate effectively with cross-functional teams including product managers, designers, and other developers.
• Stay updated with emerging technologies and industry trends to continuously improve development practices and tools.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (preferred).
• 5+ years of experience in software development with expertise in MERN stack technologies.
• Proficiency in Node.js, Next.js, React.js, Express.js, Nest.js, JavaScript, and TypeScript.
• Strong understanding of MongoDB and SQL databases, including database design and optimization.
• Experience building and deploying applications on AWS cloud infrastructure (EC2, S3, Lambda, DynamoDB).
• Familiarity with real-time web applications and event-driven architectures using technologies like Socket.io.
• Solid understanding of software development principles, design patterns, and best practices.
• Excellent problem-solving skills and ability to troubleshoot complex issues.
• Effective communication and collaboration skills, with the ability to work both independently and as part of a team in a fast-paced environment.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

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About the Company

Our client is a leading manufacturer of TMT Bar and exporter in India. They are a well known group that achieves a turn over of 3000 Cr per annum. The group is setting a construction & architecture oriented omni channel B2B & B2C platform. Merito, a curated talent platform is responsible to identify key resources for this project.

Job Location: Kolkata

Job Description

• Full stack e-commerce developer is responsible for writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performance applications 
• Implementation of security and data protection 
• Understanding of performance testing and optimization techniques 
  
  

Requirements

• Fullstack developer should have the ability to translate Wireframes and PSD Designs into functional web apps.
• Binding of UI elements to JavaScript object models
• Creating RESTful services with Node.js
• Fullstack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• Reactjs Nodejs developer must know MongoDB, Express, Node.js, & React.
• Create Unit and Integration tests to ensure the quality of code
• Be responsive to change requests and feature requests
• Write code that is cross-platform and cross-device compatible
• Full developer must have the ability to wear many hats and learn new technologies quickly
• Understanding & proficiency in REST APIs.
• Fullstack developer should know Git Repository and Jira.

Job Description

· Design technical specifications for RPA (Uipath) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.

· Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.

· Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.

· Complies with and helps to enforce design and coding standards, policies and procedures.

· Ensures documentation is well maintained.

· Ensures quality of coded components by performing thorough unit testing.

· Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.

· Reports status, issues and risks to tech leads on a regular basis

· Improves skills in automation products by completing automation certification.

· Mentors junior developers and performs code reviews for quality control.

Qualifications

Bachelor degree in Engineering / Computer Science

Additional Information

· 5- 8 years of IT experience and having good understanding of programming concepts. Should be from a programming background on any coding language (.Net, Java).

· Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.

· Understands development methodology and lifecycle

· Should be trained on RPA tools (Uipath).

· Self-motivated, team player, action and results oriented.

· Well organized, good communication and reporting skills.

• Must have excellent command over Photoshop, Illustrator, Indesign, Coreldraw, Canva

Functional Area: Graphic Design, Creativity.

Role: Graphic Designer

Employment Type: Full Time

Keyskills

• Adobe Photoshop
• In Design
• Adobe Illustrator
• Corel Draw
• Adobe Premier Pro
• Adobe After Effects
• Canva

Desired Candidate Profile

• Excellent command in Graphic Designing Software
• Thorough understanding on latest tools and creatives and trends in the market
• Good communication skills.

Our Gurgaon-based client focuses on helping local businesses grow by introducing them to their SaaS platform. They are into everything local, from Listing & Review management, across social platforms, search platforms, and more. They are also into building and managing hyperlocal targeted advertising campaigns.

Founded in 2014, our client is a location data management platform. They serve multi-location enterprises across India and South East Asia. They are also helping brands to engage with audiences through their store-level messaging capabilities. The company earned a revenue of over $5 Million in the year 2021.

They have been awarded in various categories in the last few years, a few examples of which are IDMA Awards, Vega Awards, Landy Awards, Digixx Awards, Echo Awards etc.

As a Business Development Manager, you will be responsible for growing the client portfolio of multi-location large brands. You should be able to build strong sustainable relationships based on your in-depth knowledge and high-performance.

• Managing and executing entire sales process from prospecting to closure, while continually building a pipeline of sales opportunities with accurate forecasting
• Delivering highest service levels at all times, making clients’ life simple, advising them on how to leverage the platform to meet their KPIs
• Onboarding the customers once they sign up on the platform and working towards up-selling other products from the company
• Achieving high sense of customer satisfaction with focus on growing the accounts by being the trusted advisor to clients
• Working with highly driven entrepreneurs and mentors

Desired Candidate Profile

• Graduate, Preferably MBA from Renowned B-School
• Min. 2- 4 Years of successful journey selling SaaS/ Ad Tech in Indian Market
• Proven success in beating sales targets and following a consultative sales approach on behalf of the clients
• Ability to push new offerings along with core offerings to enhance penetration into accounts
• Savvy with digital productivity tools and well versed with analysing and presenting data in Microsoft Excel
• Data, digital advertising and/ or platform sales experience is a big plus
• Very strong and convincing communication and presentation skills that you can adjust to different hierarchy levels
• Understanding of the importance of building successful case studies
• Hunter mindset
• Ability to connect with key decision makers at client side    

•  The Analyst will work with our Quant Research team and will assist in projects to improve stock selection, portfolio construction or implementation.
•  Main goals for the candidate would be around developing smart beta index portfolios.
•  Research on topics specific to quant trading, including AI/ML, statistical arbitrage, momentum, mean-reversion, factor investing and applications of statistics and econometrics models.