Product Manager

"Hands-on experience with minimum 3 years of programming experience in JAVA 8 (or) 11.
Good experience using Springboot, Hibernate or JPA frameworks, Spring Security, Spring MVC (or) Spring Ioc (or) Spring AoP (or) any other spring framework.
Good experience in utilizing & working in Restful Webservices & Java Collection."
"Experience in Swagger, Microservices, Basic security, Design patterns.
Good Experience in utilising & working with Cosmos (or) MySQL."

Experience

4 - 8 Years

Gynecologists give reproductive and sexual health services that include pelvic exams, Pap tests, cancer screenings, and testing and treatment for vaginal infections. They diagnose and treat reproductive system disorders such as endometriosis, infertility, ovarian cysts, and pelvic pain.

Diploma in Gynaecology & Obstetrics (D. G. O.) – 2 years. Doctor of Medicine (MD) in Gynaecology & Obstetrics – 3 years. Master of Surgery (MS) in Gynaecology & Obstetrics – 3 years.

Degree: Master of Surgery

Salary : 2 lakh month 

 

Linux administrator having 4+ years of experience
Good knowledge of managing Linux admin along with application hosting on the server. Excellent
knowledge of Linux commands
Worked on OEL Linux and other Linux version. Manage VAPT requirements, server support, backup
strategy
Knowledge of hosting OBIEE, Informatica and other applications like Essbase will be added adavntage.
Good technical knowledge and ready to always learn new technologies
Configurations of SSL, Port related checking
Technical documentation and debug skills
Coordination with other technical teams
Qualifications
Master or Bachelor degree in Engineering/Computer Science /Information Technology
Additional information
Excellent verbal and written communication skills

Job Title: .Net/ASP Developer

Work Location: Hyderabad

Experience:6 to 8 Years

Package:Upto 15 LPA

Notice Period:Immediate Joiners

Its a Full Time Opportunity with Our Client

Mandatory Skills:ASP.Net,VB.Net,.Net Core,C#,MVC,Restful API,MVC & SQL

Job Responsibilities
--Analyse system requirements and prioritize tasks
--Write clean, testable code using .NET programming languages
--Develop technical specifications and architecture
--Test, Review, and debug various .NET applications
--Review and refactor code
--Deploy fully functional applications
--Upgrade existing programs
--Support junior developers’ work
--Document development and operational procedures
--Responsible for developing and maintaining the Development framework and associated
applications
--Develop high-quality software design and architecture
--Identify, prioritize, and execute tasks in the software development life cycle
--Develop tools and applications by producing clean, efficient code
--Automate tasks through appropriate tools and scripting
--Perform validation and verification testing
--Collaborate with internal teams and vendors to fix and improve products


Required Experience:
--Experience as a .NET Developer
--Proficiency in building web-based applications
--In-depth knowledge of at least one of the .NET languages (like C# and Visual Basic .NET – Here
we prefer Visual Basic .NET)
--Familiarity with agile environments
--Troubleshooting abilities
--Good communication skills
--Should be familiar with SQL query development, Data analysis, manipulation, optimization,
stored procedures, index optimization and other objects
--jQuery, JSON, and JavaScript framework such as React, and Angular experience is added
advantage
--Professional software engineering best practices for the full software development life cycle,
including
--coding standards
--code reviews
--source control management
--build processes
--testing and
--operations are a must
--Experience in implementing and consuming large-scale web services
--AWS Platform experience is definite plus
--Must have worked as a part of Agile Teams
--Should be proficient in.Net Framework (4.x.x, Core), MVC Framework, creating Fluent-RESTful
APIs
--Good to have knowledge in ORM (Entity Framework, NHibernate, etc…), Unit Testing
Frameworks (MS Test, xUnit, nUnit)

Hello Professional,
#Hurryup #hiringalert
We have urgent opening for #Accountant in leading manufacturer & exporter of Stainless Steel product..
Vacancy:- 01
JobLocation:- Drive IN Road , Ahmedabad
Noofdays:- 6
yearsofexperience :2yr to 4yr
qualifications :- Degree in finance
requiredskills :- Candidate should have the knowledge of GST and should know to handle the accounts properly , Be well versed with use of Tally and M.S. Office ,Bank Reconciliation Invoice preparation, Sales-Purchase Entries, Basic Accounting, TDS, Do all Account Related work..

references are highly appreciated!

We are looking for software development engineers to design and develop the backend systems for our consumer and partner-facing applications. You will work on massively scalable distributed systems and solve complex engineering problems

Reporting structure - Engineering Manager-Java

• Computer Science fundamentals in object-oriented design, design patterns, data structures, algorithm design,
• Proficiency with Java, Rabbit MQ, Kafka.
• Proficiency in Mongo DB, Cassandra, Redis.
• 3+ years of experience contributing to architecture and design in a product setup Information Technology
• Understand customer needs by collaborating with Product Managers and Business stakeholders
• Development, delivery and support of large-scale, distributed software applications and tools
• Use software engineering best practices to ensure a high standard of quality and maintainability for all deliverables
• Work in an agile, start-up-like development environment, where you are always working on the most important stuff.
• Take initiatives and come up with new ideas to invent solutions for customer

About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.

Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.

How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!

What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.

Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.

We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).

Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.

Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

GE Digital is looking for game changers at a Sr. Staff Architect level to work on the Wall of Analytics (WOA) product. Reach out to me for more details.