11+ User exit Jobs in Mumbai | User exit Job openings in Mumbai

Job Description

The ideal candidate should have minimum 8 years of experience on SAP Abap.

Should be well versed with Reports , Interfaces , Conversions , Enhancements , Forms and User exits.

Should be good in stakeholder management.

Should have excellent verbal and written communication skills

Should be good in Project management.

Knowledge of S/4 Hana is required.

A Desktop Support Engineer is responsible for providing technical support and assistance to end-users in an organization. This role involves troubleshooting hardware and software issues, ensuring that desktop systems are functioning efficiently, and maintaining a high level of customer satisfaction. 

Key Responsibilities:

- Respond to user inquiries and provide technical support via phone, email, or in-person.

- Diagnose and resolve hardware and software problems, including operating systems, applications, and network connectivity issues.

- Install, configure, and upgrade desktop hardware and software, ensuring compliance with company standards.

- Maintain inventory of desktop equipment and software licenses, ensuring proper documentation and tracking.

- Collaborate with IT teams to implement new technologies and improve existing systems.

- Provide training and support to users on new software applications and tools.

- Assist in the setup and deployment of new workstations and peripherals.

- Monitor and maintain system performance, applying updates and patches as necessary.

- Document technical procedures and solutions for future reference.

Qualifications:

- Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience.

- Proven experience in a desktop support role or similar technical support position.

- Strong knowledge of Windows and macOS operating systems, as well as common software applications.

- Familiarity with networking concepts and troubleshooting techniques.

- Excellent problem-solving skills and the ability to work under pressure.

- Strong communication skills, both verbal and written, with a customer-focused attitude.

- Relevant certifications (e.g., CompTIA A+, Microsoft Certified Desktop Support Technician) are a plus.

This role is essential for maintaining the productivity of employees by ensuring that their desktop environments are operational and efficient. A successful Desktop Support Engineer will be proactive, detail-oriented, and able to work independently as well as part of a team.

Job Description:

We are seeking an experienced Flutter Developer with a passion for creating high-quality mobile applications in the Trading industry. The ideal candidate will have experience working on trading products and will possess a strong understanding of financial markets, trading platforms, and tools. Additionally, the candidate should have experience with the Flutter framework and will possess a range of relevant skills to help them succeed in this role.

Responsibilities:

• Design, develop and deploy high-quality mobile applications for trading products using the Flutter framework.
• Collaborate with product managers, designers, and other stakeholders to define product requirements and specifications.
• Write high-quality, maintainable code that adheres to industry standards and best practices.
• Develop and maintain automated testing frameworks to ensure the quality of the application.
• Optimize application performance for mobile devices and ensure a smooth user experience.
• Stay up-to-date with industry trends and developments to ensure that our products are competitive and innovative.
• Collaborate with the development team to ensure that applications are deployed and maintained according to established processes and procedures.

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
• 3+ years of experience in mobile application development, with a focus on trading products.
• Strong experience with the Flutter framework and related technologies.
• Experience with reactive programming using streams and bloc patterns.
• Familiarity with financial markets, trading platforms, and tools.
• Knowledge of API integration and RESTful web services.
• Experience with version control systems such as Git.
• Familiarity with agile methodologies and practices.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Required Skills:

• Strong experience in developing mobile applications with Flutter
• Experience in developing Trading products
• Strong understanding of Dart programming language
• Experience with RESTful APIs and JSON
• Experience with state management libraries like BLoC, Provider, and Riverpod
• Knowledge of Material Design Guidelines and Human Interface Guidelines
• Familiarity with Agile methodologies and development practices
• Excellent problem-solving skills and ability to troubleshoot complex issues
• Ability to work independently and as part of a team

Preferred Skills:

• Experience with Firebase and Firestore
• Experience with integrating third-party APIs
• Knowledge of GraphQL
• Familiarity with charting libraries like MPAndroidChart and Fl_chart
• Experience with automated testing frameworks like Flutter Driver and Mockito

If you are a skilled Flutter Developer who has worked on Trading products and is passionate about building robust and scalable mobile applications, we would love to hear from you!

What you need to have:

• Working with the product team to develop new features focused on improving the user experience
• Improving existing features and working on streamlining client implementations through improved tools
• Improving our technical architecture and building out a continuous integration pipeline
• Modernizing our front-end in new frameworks
• Everything else - our team is small and you'll likely be involved in almost every tech-related thing going on
  
  

Requirements

• 1+ years of experience building consumer-facing web apps
• You are interested in the full-stack opportunity and love building a feature from start to finish
• Self-starter with a deep interest in tech - we want someone who will come in with opinions, and shape our engineering practices and decisions for the better
• An eye for design - you'll have an important role in making the product look great
• Believe in our mission and love the idea of working in education to help students succeed
  
  

Technologies you'll work with:

• NodeJS, http://sails.js/">Sails.JS
• http://react.js/">React.js, Redux, Redux-Saga
• Kubernetes, Postgres, ElasticSearch, Redis, RabbitMQ
• Whatever else you decide - we're constantly re-evaluating our stack and tools
• Having prior experience with the technologies is a plus, but not mandatory for skilled candidates.

Benefits

• Remote Option - You can work from any location of your choice
• Reimbursement of Home Office Setup
• Competitive Salary
• Friendly atmosphere
• Flexible paid vacation policy

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics