- Proven experience in sales; experience as a sales coordinator or in other administrative positions will be considered a plus;Good computer skills (MS Office)Proficiency in EnglishWell-organized and responsible with an aptitude in problem-solvingExcellent verbal and written communication skillsA team player with high level of dedication
Shubham Vishwakarma
Full Stack Developer - Averlon
About H K Consultants Engineers Pvt Ltd
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AngularJS (1.x)
Angular (2+)
C#
Javascript#HiringAlert
We are looking "Senior Software Engineer - Angular " for Reputed Client @ Permanent Role.
• Experience: 4 - 7 yrs
Primary Skills
•4+ years experience in C#
•Minimum 2-3 years of experience in Angular 8 (2+) version with Type Script and JavaScript, HTML5, CSS3 and dotnet core
•Minimum 2-3 years of experience with Web API, Entity Frame work and Linq Queries
•Must have a good exposure on query writing and DB management for writing stored procedures/ user-defined functions
•Should be able to understand the Functional Specifications and Technical Specifications and develop the application as per the specification provided.
Secondary Skills
•Minimum 1-3 years of experience on UI development using Bootstrap and Responsive Pages
•Should have a solid understanding of the SDLC processes (Design, Construction, Testing, Deployment)
•Test Driven development using Nunit, Jasmine and Protractor
•Proven experience of delivering on-time and with quality
•Should have good unit testing skills to review his own development and identify all the defects and get it fixed before releasing the code
Desired Skills
•Should have experience in developing ERP applications or Database Intensive Data Entry applications.
•Been on a support role for a period of 2 years or more
•Hands on experience of configuration management and version maintenance
•Prior experience of working in the shipping domain
•Hand on experience in writing technical specifications
•Should have skills to quickly learn the Business Process and understand the overall project scope.
•Full stack developers with experience in Developing products with Angular and C# APIs, from ground-up will be a plus.
Location : Bangalore
Data Science
Machine Learning (ML)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
#LI-Remote
Python
Jenkins- Maximising automation within the organization.
- Understand various functions’ systems & automation-related needs and design & implement solutions for them.
- Manage Learning Management System (LMS) from the technical side including coordination with the LMS provider for white-label LMS development.
- Provide necessary training to MML employees & students for optimal utilisation of automation & technology solutions.
- Add value to the growth of the organization's top line & bottom line.
We at Mobiloitte are actively looking to hire an experienced Blockchain Developer who can join our team as soon as possible.
Visit us: www.mobiloitte.com
Job Title: Blockchain Developer
Reports to: Project Manager
Experience: 1-8 Years
Company Name : Mobiloitte.
Website : mobiloitte.com
Location: New Delhi
Qualifications: B.E/B.Tech (Esentially with relevant exposure)
Roles & Responsibilities:
1. Must have experience with combination of following DLT (Distributed Ledger Technology) related: Hyperledger Fabric, Sawtooth, Iroha, Node.js, Go, Composer, Ethereum, Solidity, Truffle, web3.js, Geth, Corda, NEO, Rust, Solana and Polkadot.
2. Experience with containerization (Docker) and cloud-based computing (AWS, Bluemix, Azure) is a plus
3. Experience in pre-sales activities (proposal, client meetings, presentations)
4. Individual contributor with excellent analytical skills and ability to think out of the box (experience with requirements gathering/engineering are an advantage)
5. Excellent interpersonal and communication skills, including strong presentation skills
Desired Skills:
1. Hyperledger Fabric projects implementation experience is mandatory
2. Must have strong experience in writing chain code using Go Lang
3. Must have strong experience in implementing apps on top of Hyperledger Fabric using Angular or React front-end and NodeJS services
4.Hands on experience on-stellar,parity,R3 Corda,ethereum.
5.Should be hands on Consensus like-PBFT,PoW (Ethash)SCP (Steller Consensus Protocol) etc…
6.Good knowledge on Privacy like- public,private.
7.Must have ability to work collaboratively with a distributed agile team and deliver with high quality
8.Must have strong experience in DevOps using Git, Jenkins, Dockers, Kubernetes
9. Any experience in one of the Cloud platforms AWS or Azure or IBM BlueMix is an advantage
10.Business domain knowledge in Finance will be an added advantage
Kindly Share your updated resume and fill the below details .
Name:
Contact Number:
Current Company:
Total Experience:
Relevant Experience:
Project Done in Blockchain :
Current CTC:
Notice Period:
Essential Duties and Responsibilities:
- Execute full lifecycle software development
- Develop, designed well efficient code
- Integrate software components into a fully functional software system
- Fully adaptive to the technology needed for the current project
Requirements:
- Minimum 8 year of strong demonstrated knowledge in PHP, Mysql, Mongodb, Jquery, SASS
- Algorithms, data structure.
- Object-oriented programming.
- AWS/Server experience to handle production machines is a plus.
- Team Management mandatory
- Experience on PHP, PHP Frameworks, Ajax, Knowledge on CMS platform like Opencart, payment gateway integration, experience working on portals.
- Familiarity with software development methodology and release processes.
- Strong problem-solving skills and excellent communication skills
- Product based company preferable
- Startup experience preferable
JavaPythonJavascript
Amazon Web Services (AWS)Usually recognized as Team/Technical Leader, Senior Software Engineers Solves big problems that come with a lot of ambiguity. As technical leaders of the team, Sr SDE’s work efficiently and regularly deliver the right things with limited guidance. They take a long term view of team’s software and how it fits into the architecture; fix architecture deficiencies and/or propose larger projects, which may require the work of rest of the team. They understand the business impact of systems and show good judgment when making technical trade-offs between team’s short-term technology or operational needs and longterm business needs. As a key influencer in team strategy, Sr SDE’s drive mindful discussions with customers and peers. They bring perspective and provide context for current technology choices and guide future technology choices.
Sr SDE’s take ownership of team architecture, providing a system-wide view and design guidance. They drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards. They work to resolve the root cause of endemic problems which may require them to influence software decisions made by other teams. When confronted with discordant views, they are able to find the best way forward and influence others to follow that path (build consensus). They actively contribute in recruiting and help others leverage their expertise, by coaching and mentoring in organization or at their locations. They provide technical assessments for promotions in SDE job family.
As a norm, Amazon SDE’s have industry-leading technical abilities. They recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. They write high quality, maintainable, and robust code, often in Java or C++. They solve problems at their root, stepping back to understand the broader context. They build flexible systems without over-engineering and choose simple, straightforward solutions over more complex ones. They understand a broad range of data structures and algorithms and know how, when and when not to use them; recognize and use design patterns to solve business problems. They understand how operating systems work, perform and scale. Sr SDE’s write software that is easy for others to contribute to.
Amazon SDE’s build software for business’ sake, not for technology’s sake. They have an understanding and empathy for Amazon’s customers and business objectives, particularly those aspects relevant to their teams and divisions. They work in a team, driving things forward, they collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
Key Responsibilities include: - Ability to architect and design right solutions starting with broadly defined problems Provide technical mentorship/leadership to other engineers Drive best practices and engineering excellence Development of code in object oriented languages like Java and C++.
Preferred Qualifications The ability to take raw product requirements and develop software architectures and designs to bring them to life. 10+ years of experience building successful production software systems A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field). Post-graduate degree: Master’s or Ph.D. with focus in machine learning is big plus. Development in cloud environment Mastery of the tools of the trade, including a variety of modern programming languages (Java/C++/C#, JavaScript, C/C++,Python) and open-source technologies (Linux, Spring, Hibernate)
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Full Stack Developer - Averlon