11+ Amazon Glacier Jobs in India
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Machine Learning (ML)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.
Coordinate internal resources and third parties/vendors for the flawless execution of projects
Ensure that all projects are delivered on-time, within scope and within budget
Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
Ensure resource availability and allocation
Develop a detailed project plan to track progress
Use appropriate verification techniques to manage changes in project scope, schedule and costs
Measure project performance using appropriate systems, tools and techniques
Roles & Responsibilities
1. Recruitment
2. Joining & onboarding
3. Engagement
4. Performance Review
5. Handling of portals.
Required Candidate profile
* Graduate.
* Good communication skills and comfortable working 6 days per week
* Should be able to work independently with guidance.
* Immediate Starters
JavaExperience: 2-8 years
Skills
* Hands-on development skills in Java8 features like Streams, Lambda expressions, Enhanced for loops, Parallel processings, etc.
* Hands-on development skills in Springboot, Microservices & JPA/Hibernate.
* Experience in designing, analyzing and troubleshooting large-scale distributed systems.
* Experience in any Java based rule engine implementation for workflows.
* Experience in Dockers, ElasticSearch, Messaging and any RDBMS.
* Experience with Swagger, Git, Jenkins & Maven.
* Experience with any of Nosql databases.
Java
Javascript
React.js
Angular (2+)
AngularJS (1.x)- Demonstrated experience as a software engineer, with at least 3-5 years’ experience in technology roles
- Experience working on complex systems and cloud architectures, preferably in a B2B or enterprise context
- Experience with the Java programming language and frameworks such as Spring & SpringBoot
- Experience with front-end Javascript frameworks such as ReactJS
- Experience working in databases and SQL queries for high-performance
- Experience and keen understanding of the value of working in agile teams
- A “quality-first” mindset, with experience working in continuous integration environments
- Highly effective at communicating
- Respect for other team members and a highly collaborative approach to working and learning together
global InsurTech SaaS product company
NodeJS (Node.js)
PHP
PythonJava
Go Programming (Golang)Summary role description:
Hiring for Technical Lead - Full Stack for a global InsurTech SaaS product company
Company description:
Our client is a global digital SaaS platform InsureTech company headquartered in Silicon Valley providing omnichannel customer acquisition platform, Analytics powered customer engagement, services, and self-service portals and apps for agents as well as policyholders.
Role details:
- Title / Designation: Technical Lead – Full Stack
- Reporting Manager: Director of Product Engineering
- Location: Hyderabad/Hybrid
Role & Responsibilities:
- Develop, deploy, support, and implement web application projects
- Build scalable architecture, reusable patterns, and libraries for future use
- Conduct performance testing, review results, identify bottlenecks and report code
- Proactively identify and resolve potential problems/issues including authoring technical specifications
- Ensure the technical feasibility of UI/UX designs
- Optimize application for maximum speed and scalability
- Keeping up to date with industry trends and developments
- Motivate team members to learn the required skills and stay up to date on the execution
- Mentor, lead, and guide a team of Software Engineers
Candidate requirements:
- Overall, 6+ years of experience as Full stack developer, with a minimum 1-year experience in product development
- Experience in leading a team of 3+ members
- Experience in one or more of
- Frontend – AngularJS/Angular/ReactJS/VueJS
- Backend – PHP/Java/Python/NodeJS/Golang
- DB – Any relational Database (like MySQL, Oracle, or Postgres)
- Should have experience in restful JSON web services
- Should be competent in CI /CD tooling
- Experience working with 3rd party software integrations like REST APIs, SOAP APIs, XML, JSON
Selection process:
- Code pair
- 2 Technical interviews
- Final round
KubernetesJavaFounded by Google, Stanford, and Columbia alumni, Loonycorn is a leading studio for e-learning content on machine learning, cloud computing, blockchain, and other emerging technologies.
About the Role:
We are looking for folks to build software projects which will be part of technical content similar to what you'd find at the links below:
https://www.pluralsight.com/search?q=janani+ravi
https://www.pluralsight.com/search?q=vitthal+srinivasan
https://www.udemy.com/u/janani-ravi-2/
This involves:
- learning a new technology from scratch
- coding real-world projects which use that technology (you will be a software engineer writing code, not making slides or talking about code)
What is important to us:
- Grit - Perseverance in working on hard problems. Technical video-making is difficult and detail-oriented (that's why it is a highly profitable business)
- Craftsmanship - Our video-making is quite artisanal - lots of hard work and small details. There are many excellent roles where doing smart 80-20 trade-offs is the way to succeed - this is not one of them.
- Clarity - Talking and thinking in direct, clear ways is super-important in what we do. Folks who use a lot of jargon or cliches, or work on writing code without understanding what goes on underneath will not be a fit
- Creativity - Analogies, technical metaphors, and other artistic elements are an important part of what we do.
What is not all that important to us:
- Your school or labels: Perfectly fine whatever college or company you are applying from
- English vocabulary or pronunciation: You don't need to 'talk well' or be flashy to build good projects
Python
Django
Amazon Web Services (AWS)We’re a small team looking for passionate, execution-focused, self-starters to help us build the next generation eCommerce platform and equal the playing field for all. Our success depends on building teams who can challenge each other's assumptions with fresh perspectives. To that end, we don’t just accept differences – we celebrate them. If that sounds exciting to you, let’s talk!
We are expanding our Engineering team to India and building a stellar and diverse team composed of owners. We are looking for a backend engineer with a demonstrated track record of developing and maintaining production services, innovative thinking, and technical excellence. As a backend engineer, you will be responsible for building out the service layer that powers our frontend applications. You should have a solid understanding of software development lifecycle and software design principles. This is a great opportunity if you are looking for a huge impact at a small start-up with immense growth potential.
What you will do?
Create technical plans of projects assigned to you.
Come up with well-structured solutions to ambiguous problems and implement them.
Ship high-quality, well-tested, secure, and maintainable backend code.
Provide technical direction on our various products and upcoming projects.
Champion reliability and quality by using best practices in software engineering and modular design.
Ensure all components are scalable, maintainable, and have in-built metrics instrumentation and monitoring
Deliver an exceptional user experience to our customers. Put the customer first and have quality in mind.
Own the full release cycle from development to deployment.
What you will need?
3+ Years of experience as a software engineer working on backend applications.
Advanced knowledge of Python (preferably, the Django framework) and relational databases.
Experience with agile, test-driven development, continuous integration, and automated testing.
Experience with building, modifying, and extending API endpoints (REST or GraphQL) for data retrieval and persistence.
Experience with the full software development life cycle, including requirements collection, design, implementation, testing, and operational support.
Excellent verbal and written communication, teamwork, decision making and influencing skills.
Experience with scrum or other agile software development methodology.
Hustle. Thrives in an evolving, fast-paced, ambiguous work environment.
Bonus if you have
Experience working in the eCommerce domain.
Experience with AWS technologies like Elastic Beanstalk, Amplify, etc.
Dynamics 365 Business Central 0r NAV Lead / Architect
Client Details
VELOSIO
Velosio is your partner in leveraging Microsoft Cloud and Dynamics business solutions that will resolve your business challenges and help you stay relevant and modern. These solutions include Microsoft Dynamics 365, Business Central, Power Platform and Office 365. We also provide Oracle NetSuite, Cloud managed services, a range of support offerings, consulting, and partner programs.
https://www.velosio.com/">https://www.velosio.com/
Job Description
Job Summary:
The Dynamics 365 Business Central/NAV Solution Architect is responsible for leading the technical direction on Microsoft Dynamics 365 BC and NAV development projects. Working with Product Management, NAV Consultants, Project Managers, and others on preparing estimates and Custom Development. The ability to scope out work, manage and in some cases delegate and oversee other developers work. Quality control and testing.
In addition to the necessary skills and experience to perform the responsibilities outlined above, there are several traits that a successful candidate will possess.
- Accounting Knowledge
- Functional/Technical design documents creation and testing of core Dynamics 365 Business Central Apps
- Work with internal stakeholders to understand the functional requirements and scope out modifications and custom development
- Convert functional requirements to technical specifications and design documents
- Make technical recommendations for installation, modifications and custom development
- Ensure development best practices are adhered to by other team members
- Conduct Code Reviews and mentor other team members
- Communicate effectively in all mediums and to all levels within the organization.
- Technical Requirements:
- Minimum of 12+ years of Dynamics NAV Development and/or Dynamics 365 Business Central experience
- Strong knowledge of C/AL, and experience with AL
- Understanding of Events and Subscribers Dynamics NAV Web Services
- HTML 5 Experience
- .NET Experience
- Experience participating in Work Scoping & Estimation
- Strong understanding of the SDLC
- Excellent communication, planning and organization skills
Company: Lincode Labs
Responsibilities:
Establish and maintain a deep understanding of the overall product portfolio and the competitive landscape. Lead technical discovery and prepare/deliver technical presentations explaining our products to prospects and customers. Create and deliver powerful presentations and demos to clients that clearly communicate the uniqueness of the value proposition. Successfully manage and execute technical proof of concepts (POCs), on-site or remote. Responsible for representing the product to customers and at field events such as conferences, seminars, etc. Evangelize Lincode products to prospects, customers, and partners via presentations and product demos. Convey feature input and customer requirements to Product Management teams. Partnering with sales executives to plan, prepare and execute on strategic deals in complex sales cycles. Collaborate with sales teams to understand customer requirements and provide sales support. Respond to technical objections and articulate the value and return on investment delivered. Liaise with the Engineering, Product, Marketing, and Sales teams to provide consultative technical expertise for all customer needs. Effectively communicate & build confidence with customers across teams (Engineering, Product, Marketing, and Sales). Engage in and oversee the development of customer proposals, design and delivery, ensuring all expertise, information and recommendations are concisely defined
Requirements:
2-3 years Sales Engineering experience. Worked previously with Machine Learning/ Computer Vision Companies- preferred Min qualification- Graduates Knowledge about installing Industrial cameras Excellent presentation, written and verbal communication skills to communicate professionally. Self motivated with strong interpersonal and problem-solving skills. Ability to work well in a highly dynamic team.
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