11+ Structural engineering Jobs in Mumbai | Structural engineering Job openings in Mumbai

Purchase Manager Technical Profile JD

Male candidate -Experience 10-15 years in engineering industry (Manufacturing) and should

handle a purchase team independently.

Qualification – Diploma or Mechanical Engineer

Good technical knowledge of sheets, rods, pipes, Structural steel, Castings and

outsourcing jobs

Knowledge of drawing, design.

Good communication and negotiation skills

Expertise in vendor scouting / sourcing

Identify cost reduction areas.

Must have good knowledge of metal market

Must have knowledge of Job work process

Should be able to handle a team independently

Ready to travel anywhere to source the material

MIS of Purchase

LOCATION : Koparkhairane, Navi Mumbai

Salary - Upto 80k

Core responsibilities

•      Collaborate with product teams to more accurately define new features

•      Collaborate with UX in the building of a design system/component library

•      Ensure high performance of all systems developed

•      Aware of the relationship between development and business with a strong sense of ownership

•      Employ the latest techniques such as agile software development

•      Good knowledge of highly scalable server-side development

•      Basic working knowledge of Unix/Linux

•      Excellent problem solving and coding skills in Javascript/Angular

•      Strong interpersonal, communication and analytical skills

•      Should have the ability to express their design ideas and thoughts

Job Brief

•      JavaScript and angular expertise

•      Experience with libraries such as bootstrap, Ag-grid, formly, observables, and ngrx

•      You enjoy working with new technologies, and are curious and energetic

•      Experience working with REST APIs

•       Good understanding about authentication and security

•      Create and maintain various unit and integration tests

•      You enjoy working in a creative and agile environment that moves fast

•      Ability and interest in providing mentorship to junior members of the team

•      Write high quality code and Conduct code reviews

•      Being resourceful and detail-oriented, along with being an outside the box thinker!

•      Experience being a great team player, who work collaborative, and brings a positive attitude

Company Profile:

Website : www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

https://www.youtube.com/watch?v=H_rLmHvlOKg

Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen | Driving Digital Transformation

A technology consultancy that drives digital innovation by connecting strategy and execution, helping global clients to strengthen their core technology.

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

Hi All,

Greetings from LMV Financial Services Pvt. Ltd.!!!

We are hiring for Life Insurance Manager Profile .

Location- Banglore,Chennai, Vizag,Vijaywada,Anantpur,Rajamundra,Mysore,Mumbai & Pune Location.

Candidate must have prior working experiance in the same domain .

Must have handled or connections with multiple Agency Chennal.

Can able to work in open Market for Corporate DSA.

Salary- Based on Privious Package +Hike

Job Requirements

• Experience in ReactJS and its main fundamentals like JSX, Virtual DOM, component lifecycle, etc.
• Strong proficiency in JavaScript, object model, DOM manipulation and event handlers, data structures, algorithms, JSX, and Babel.
• Experience with browser-based debugging and performance testing software.
• Good understanding of HTML, CSS, ES6.
• Knowledge of Unit testing frameworks..

Job Responsibilities

• Design, build and maintain software applications.
• Write well-designed, testable, efficient code by using best software development practices.

Position: Dot Net Developer

Job Title: Junior Software Engineer

Experience: 0 to 2 Years

Key Skills:

• Programming Languages: C# or VB.NET
• Server-Side Technologies: ASP.NET / MVC
• Front-End Technologies: Html5, ES5/ES6/ JavaScript, CSS, jQuery, Bootstrap, Ajax, Web Sockets
• Database: SQL Server

Knowledge on below concepts/technologies is an added advantage

            - Cloud Platforms: Azure / Google

            - NodeJS, Mongo DB

            - Redis, RabitMQ, MQTT, Kafka

            - Concept of Continuous Integration / Continuous Deployment

Key Deliverables: Writing codes as per the requirement.

• Individual with 5+ years of experiences in developement
• Resolve technical issues raised by the team
• accountability of the product
• can handle deployment and releases
• should have .net core mvc and angular is good to have.

• Design and Build sophisticated and highly scalable apps using flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high quality responsive UI code.
• Write efficient queries for core Data.
• Explore feasible architectures for implementing new features.
• Resolve any problems existing in the system and suggest and add new features in the complete system.
• Suggest space and time efficient Data Structures.
• Follow the best practices while developing the app and also keeping everything structured and well documented.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Interact with the Product Manager to help understand end-user feedback.
• Ensure security guidelines are always followed while developing the app.
• Suggest new features and/or enhancements.
• Maintain software through product lifecycle including design, development, verification and bug fixes.
• Resolve all the bugs in a timely manner.
• Execute app verification protocol.
• Follow company policies and quality procedures to ensure quality product deliverables.
• If you have experience with Bluetooth Low Energy (BLE) based devices and related applications please highlight the same in your resume