Content writer Intern - Blogs (B2B SaaS)

Profile: Senior PHP Developer

Experience- 10+Years

Mode: Remote

Required Skills:

• PHP (10+ years) & Symfony framework (5+ years)
• Team leadership experience (3+ years)
• OOP, design patterns, RESTful APIs
• Database optimization (MySQL/PostgreSQL)
• Git, CI/CD, testing frameworks
• Excellent communication skills

Responsibilities:

• Lead PHP/Symfony development
• Mentor team members
• Ensure code quality through reviews
• Collaborate with stakeholders
• Manage sprint cycles
• Optimize application performance

5+ years experience in design, build, and implementation of Configure, Price, Quote (CPQ) solutions using the Conga CPQ platform. Should have Conga CPQ/CLM expertise

Design and Development:

Develop and design Conga CPQ solutions that align with business objectives and technology best practices.

Implementation:

Lead and guide the implementation of Conga CPQ projects, ensuring seamless integration and optimal performance.

Technical Leadership:

Provide technical leadership and guidance to teams, including code reviews and establishing development standards.

Problem Solving:

Troubleshoot and resolve technical issues related to Conga CPQ, including those arising from integrations.

Integration Expertise:

Design and manage integrations between Conga CPQ and other systems, including Salesforce.

Stakeholder Management:

Collaborate with business stakeholders to understand requirements and ensure that solutions meet their needs

Job Description

▪ You are responsible for setting up, operating, and monitoring LS system solutions on premise and in the cloud

▪ You are responsible for the analysis and long-term elimination of system errors

▪ You provide support in the area of ​​information and IT security

▪ You will work on the strategic further development and optimize the platform used

▪ You will work in a global, international team requirement profile

▪ You have successfully completed an apprenticeship / degree in the field of IT

▪ You can demonstrate in-depth knowledge and experience in the following areas:

▪ PostgreSQL databases

▪ Linux (e.g. Ubuntu, Oracle Linux, RHEL)

▪ Windows (e.g. Windows Server 2019/2022)

▪ Automation / IaC (e.g. Ansible, Terraform)

▪ Containerization with Kubernetes / Virtualization with Vmware is an advantage

▪ Service APIs (AWS, Azure)

▪ You have very good knowledge of English, knowledge of German is an advantage

▪ You are a born team player, show high commitment and are resilient

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

• Strong development experience of 2 years using front end technologies such as HTML,  JavaScript, CSS, JQuery, HTML5, React JS, Angular 4 or higher , Type Script
• Skilled at Object Oriented JavaScript and having a working knowledge of at least one of  the following MVC Frameworks (Angular, Ember, React etc.)
• In-depth understanding of the entire web development process (design, development, and deployment) 
• Understanding of common frontend design patterns for developing high performance, user friendly and robust applications