11+ Amazon Glacier Jobs in Chennai | Amazon Glacier Job openings in Chennai

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Automation Test Engineer

(UI Automation, API+UI Automation, UI+API+Mobile Automation)

Experience (4- 9) Yrs

N.P – Immediate - 25 Days

Location- Pan India  

Skill Set-

Must Haves :

• Experience with QE for distributed, highly scalable systems

• Good understanding of OOPS concepts and strong programming skills in Java, Groovy or JavaScript

• Hands on experience of working with at least one of GUI based test automation tools for desktop and/or mobile automation. Experience on multiple tools will be added advantage

• Proficient in writing SQL queries

• Familiarity with process of test automation tool selection & test approach

• Experience in designing and development of automation framework and creation of scripts using best industry practices such as Page object model

• Integrate test suites into the test management system and custom test harness

• Familiar with implementation of design patterns, modularization, and user libraries for framework creation

• Can mentor team as well as has short learning curve for new technology

• Understands all aspects of Quality Engineering

• Understanding of SOAP and REST principles

• Thorough understanding of microservices architecture

• In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS

• Hands-on experience working with Postman or similar tool

• Hands-on experience in parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar

• Hands-on experience in performing Request and Response Schema validation, Response codes and exceptions

• Good Understanding of BDD, TDD methodologies and tools like Cucumber, TestNG, Junit or similar.

• Experience in defining API E2E testing strategy, designing and development of API automation framework

• Working experience on build tools Maven / Gradle, Git etc.

• Experience in creating test pipeline – CI/CD Preferred: (Mostly for people being hired at the Senior Associate Career Stage)

• Possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar / expert in domains like retail banking, automobile, insurance, betting, food-markets, hotel industry, healthcare)

• Used /Exposure to automation tool for automating mobile applications

• Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber , Devops

• Knowledge and experience in service virtualization and tools like CA Lisa

• Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable

• Experience in test management tools like Xray & Zephyr and integration of test framework with these tools

• Understanding of commonly used software design patterns like Builder, Factory, Singleton and Façade. Test Management: Must Haves

• Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques.

• Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities

• Well-versed with the most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently

• Have expertise to enforce/adhere defect or other processes in the team

Skills- .net, asp.net, SPFX, MVC, API, SQL, angular, javascript, jquery, devops, sharepoint, .net core, GitHub, agile, Angular JS, .net framework

Location: Chennai, Bangalore, Kochi, Coimbatore, Hyderbad

Requirement:

We are looking for dotnet developer with the skillset of

1. Dot Net. Sharepoint Online, SPFX (3-6yrs exp)
2. Dot Net. Sharepoint Online, SPFX, Knowledge Management, Power BI(6-9yrs exp)
3. Dot Net, SQL(3-6yrs exp)
4. Dotnet framework, Asp.Net, C#.Net, SQL Server(3-6yrs exp)
5. .net, SQL, Angular(3-6yrs exp)
6. MVC .net,.Net core,API & SQL Server,Angular,Agular JS(3-6yrs exp)
7. .Net, ASP .Net, MS SQL Server, Agile, GitHub, ADO(3-6yrs exp)
8. ASP.Net, javascript, J query(3-9yrs exp)
9. MVC.Net, SQL, Jquery, DevOps, GitHub(3-6yrs exp)

Pega Developer:

Total Yrs of Experience: 6 to 7

PEGA Experience: 6 years

Certification:

Must – CSSA or valid CLSA – part 1

Nice to have - CLSA

Job description:

Must

•            At least 6+ yrs experience in PEGA implementation

•            Hands on experience in OOAD, technical architecture definition

•            Working experience on database SQL programming , J2EE

•            Experience with BPM implementation methodology like SmartBPM, Scrum and onshore-offshore mode.

•            Experience with client facing management role at onsite/offshore

•            Experience with estimation

•            Experience with project planning, scheduling, risks/issues identification,

•            Experience in business development activities like proposal response, solution building, client presentation

•            Strong leadership and people management skill

Nice to Have

•            Knowledge on DSM, mobile Framework

•            Experience with App-server configurations, deployment in complex technical environment

•            PMP/Prince II certification

Role Overview:

The SEO Analyst is responsible for optimizing the organization’s online presence by improving search engine rankings, driving organic traffic, and enhancing user engagement. This role requires expertise in SEO strategies, analytics, and a strong understanding of mental health-related content to ensure alignment with the organization’s mission.

Key Responsibilities:

1. SEO Strategy Development and Execution:

• Develop and implement effective SEO strategies to improve website rankings and increase organic traffic.
• Conduct keyword research to identify high-value terms relevant to mental health services and integrate them into the content strategy.

1. Content Optimization:

• Collaborate with content teams to optimize on-page elements, including meta tags, headers, and keywords.
• Ensure that content adheres to SEO best practices while maintaining accuracy and sensitivity in mental health-related topics.

1. Performance Monitoring and Reporting:

• Monitor website performance using tools such as Google Analytics, Google Search Console, and other SEO software.
• Analyze data to evaluate the effectiveness of SEO efforts and provide regular reports to the marketing team.

1. Technical SEO Management:

• Conduct technical audits to identify and resolve issues affecting website performance, such as page speed, mobile usability, and broken links.
• Ensure the website is optimized for search engine crawlers and adheres to the latest algorithm updates.

1. Competitor and Market Analysis:

• Conduct competitive analysis to identify trends, opportunities, and gaps in the market.
• Research emerging SEO techniques and tools to maintain a competitive edge in the mental health sector.

1. Local SEO:

• Develop and manage local SEO strategies to enhance visibility in specific geographic areas.
• Optimize Google My Business profiles and manage location-based search strategies.

1. Collaboration and Training:

• Work closely with content creators, developers, and social media teams to align SEO initiatives with broader marketing goals.
• Provide training and guidance to team members on SEO best practices.

Qualifications and Requirements:

Education:

• Bachelor’s degree in Marketing, Computer Science, or a related field.

Experience:

• 2–5 years of experience as an SEO Analyst or in a similar role.
• Proven experience in optimizing content for the mental health or healthcare sector is mandatory.

Skills and Knowledge:

• Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, and Ahrefs.
• Strong understanding of technical SEO, keyword research, and link-building strategies.
• Familiarity with content management systems (e.g., WordPress).
• Knowledge of HTML, CSS, and basic coding practices is a plus.
• Excellent analytical and problem-solving skills.

Personal Attributes:

• Strong attention to detail with the ability to manage multiple projects simultaneously.
• Excellent communication and collaboration skills.
• Sensitivity and awareness when working with mental health-related content.

Key Competencies:

• Expertise in SEO strategies and best practices.
• Data-driven decision-making and performance analysis.
• Ability to adapt strategies to the unique needs of mental health-related audiences.
• Strong alignment with the organization’s mission to promote mental health awareness.

• Work closely with design, product management, and front-end teams to create REST APIs using NestJS
• Write reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Work on the implementation of security and data protection
• Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively

• 1+ years of experience in NodeJS-based frameworks like NestJS, and microservices-based architecture is a bonus.
• Understanding of OOPS concepts, persistence, threading, queuing, and caching.
• Thorough knowledge of designing, implementing and scaling relational and document-based databases
• A love for systems and an ability to think through and plan for their life cycles, edge cases, interactions, and failure modes
• First principles thinking, Excellent problem-solving ability
• A good all-rounder with a can-do, startup mentality

• Experience with ReactJS
• Cloud deployment and scaling experience

Glint is a technically driven hyper local auto care service company that ensures doorstep car maintenance to the customer through monthly based subscription. At present, Glint has served around 1.5+ Lakhs orders with 1000+ monthly subscriptions.

At Glint, we believe in working in a collaborative environment. We practice flat hierarchy with more transparency and good flow of information.

After a successful operation in Chennai, we are launching next in Coimbatore. 

We are currently looking for a Customer Success Executive, Coimbatore.

What will you do at Glint?

Customer Success Executive are the main interface for the clients with Glint You will work closely with the client to build relationships with all relevant stakeholders as a trusted partner. You must have a strong understanding of our Customer’s business objectives and the ability to identify and articulate how our solution supports achievement of the Customers’ strategic business goals. You will be responsible to drive value at every juncture of the client's journey- from on-boarding to expansion to renewal to prevention of churn. 

• Work closely with the customer to ensure effective and efficient on boarding and drive greater usage/adoption over time
• Maintain a deep understanding of our solutions and content and educate clients about the most relevant features/functionality of our service offering.
• Effective, timely and accurate client communications, establishing and reviewing key performance indicators, and active positive engagement
• Developing efficient and effective management plans for clients renewals and up-sells of services.
• Serve as the voice of the client and provide internal feedback to Product, Engineering and other teams on how we can better serve our clients
• Support the resolution of delivery, implementation or technical issues Perform other duties as assigned
• Monitor clients usage throughout their lifecycle to not only identify and prioritize at-risk accounts but also ways to mitigate churn 

What we’re looking for:

• Consistent performer who handles stressful situations and deadline pressures.
• Experience of 1-2 years of experience in B2C services, Customer Success, Account Management, Business Development, or another client-facing role
• Ability to multitask and experience working with cross-functional teams (e.g. Sales, Product, Marketing, Services)
• Empathy with a knack for understanding what a customer really needs and why they need it
• Bachelor's degree in any business-related course is an added advantage.

Website: https://goglint.in/

Job Description:

Design skills

Strong working knowledge on various design patterns such as MVC, MVVM, DDD and any custom/hybrid framework as designed by the Architects.
Strong uderstanding in building Single Page Application

Process skills

Built application leveraging Agile DevOps principles and Azure DevOps toolset as part of SCRUM team


Technical skills

• Strong coding and work experience in Front End coding using Angular 8, BackBone, Bootstrap.
• Should have experience on 3rd party tools like PDF.Js (Generate PDF), SheetJS (Export Excel sheet), HighCharts or CharJS (Generate Charts and Graph).
• Should have good understanding of web servers such as IIS and Front-end runtimes using Node.js/NPM.
• Strong debugging skills using browser based Front end application written in Angular 8
• Strong knowledge and understanding of data sharing medium using JSON, XML.
• Should have used IDE such as Visual Studio and Visual Studio Code for Front-end development.
• Create Unit test cases using Jasmine and have all critical flows covered.
• Understanding of MS Build and MS Test as part of Azure DevOps pipelines
• Ability to triage defects in QA, UAT and Production and provide fix with quick turn around time.

• 5+ years of building SPA web solutions using Angular 8 , BackBone, Bootstrap
• 5+ years building HTML5 complaint pages
• 3+ years of experience using TypeScript
• 3+ years of writing automated testing using Jamine or others
• 3+ years of using TFS for Build and automated testing
• 1+ years of experience using Security Assessment Tool like Fortify 360 or IBM APP Scan
• 1+ years of experience using code quality assessment tool like SonarQube
• 1+ years of experience using API Management tool like Swagger
• 1+ years of experience on APM tools like DynaTrace
• 1+ years leveraging Azure DevOps

• Understanding of cloud based deployment using containers is plus
• Understanding of JS frameworks like Vue or React is plus

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.