https://whoneedsengineers.com/wne_live Software Engineering Recruitment Fri, 25 Oct 2024 21:30:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png https://whoneedsengineers.com/wne_live 32 32 https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/gen-ai-developer/ Fri, 25 Oct 2024 21:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/gen-ai-developer/ Gen AI Developer

Job Description:

We are seeking a talented Generative AI Developer who will be instrumental in the development and implementation of cutting-edge generative AI models and solutions to support our strategic objectives. This role is ideal for someone who is passionate about innovation and has a strong technical foundation in generative AI technologies. As a key member of our team, you will engage in hands-on development of AI algorithms, collaborate with various teams across the organization, and ensure the deployment of scalable and efficient AI applications. Your expertise will contribute to projects involving content generation, data synthesis, and automation, enabling the company to leverage AI capabilities effectively.

IT Languages:

• Python
• Java
• C++

The successful candidate will be responsible for a variety of tasks that involve the design, development, and deployment of generative AI models. You will work on optimizing algorithms, managing data, and collaborating with cross-functional teams to integrate AI functionalities into existing systems.:

Design and develop generative AI models for applications including content generation and data synthesis.;; Implement and optimize machine learning algorithms to improve generative AI system performance.;; Prepare and preprocess datasets for training and evaluating generative AI models.;; Collaborate with software engineering teams for seamless integration of AI functionalities into current systems.;; Optimize AI models for efficiency and performance across various platforms.;; Stay informed on the latest advancements in generative AI and apply new techniques to projects.;; Conduct thorough testing and validation of AI models to ensure reliability.;; Create detailed documentation of AI models and processes.;; Work closely with stakeholders to deliver AI-driven solutions that meet business needs.;; Adhere to ethical AI practices and address issues such as bias and fairness.

Spoken Languages:

• English

Skillset:

• Generative AI technologies
• Machine learning algorithms
• Deep learning architectures
• Natural language processing
• API development
• Containerization
• Orchestration tools
• Version control systems

Soft Skills:

• Excellent problem-solving abilities
• Strong analytical skills
• Effective communication skills
• Team collaboration
• Self-motivated with attention to detail
• Passion for continuous learning

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; Ph.D. is a plus.
• Minimum of 5 years of experience in AI/ML development or a related field.
• Proven experience in developing and deploying generative AI models and solutions.

Years of Experience:

5

Location:

United States

Job Benefits:

• Competitive salary
• Flexible working hours
• Hybrid work environment
• Health insurance
• Professional development opportunities
• Paid time off

Working Conditions:

Hybrid

Employment Type:

Contract

Company Culture:

• We foster a culture of innovation, collaboration, and continuous learning. Our work environment is dynamic and encourages creative problem-solving while maintaining a focus on ethical AI practices.

Opportunities For Advancement:

• Opportunities for career advancement, Access to training and professional development programs, Participation in innovative projects

Visa Sponsorship:

Available

]]> https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-operations-engineer/ Wed, 25 Sep 2024 08:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-operations-engineer/ Machine Learning Operations Engineer

Job Description:

Join us as a Machine Learning Operations Engineer, where you will play a crucial role in shaping the future of healthcare software. Our mission is to ensure that vital medical information is always accessible, ultimately improving patient care and outcomes. In this position, you will be responsible for designing and implementing MLOps workflows that encompass every aspect of the machine learning lifecycle, including model training, validation, deployment, and continuous monitoring. You will work closely with data scientists and software engineers to ensure that machine learning models are seamlessly integrated into our systems and are continuously optimized for performance. Furthermore, you will contribute to the establishment of best practices across the organization and assist various business units in adopting these practices. Your efforts will also involve developing and maintaining the infrastructure necessary for scalable and reliable machine learning operations while overseeing the lifecycle management of deployed ML applications. As part of this role, you will enhance CI/CD workflows specific to machine learning projects, ensuring that all pipelines are secure and efficient. Your mentorship of junior team members will be invaluable as you potentially transition into a leadership position.

IT Languages:

• Python
• TensorFlow
• PyTorch

Your primary responsibilities will include the design and implementation of robust MLOps workflows, collaboration with cross-functional teams, and the establishment of best practices across the organization.:

Design MLOps workflows for model training, validation, deployment, and monitoring;; Collaborate with data scientists and software engineers for model integration and continuous improvement;; Establish and promote best practices for machine learning operations across the company;; Develop and maintain infrastructure for scalable and reliable ML operations;; Support lifecycle management of deployed ML applications;; Optimize CI/CD workflows specific to machine learning projects;; Ensure security and performance of ML pipelines;; Mentor junior team members and assist in their professional development

Spoken Languages:

• English;; German

Skillset:

• MLOps
• Cloud computing
• CI/CD pipelines
• Automation tools
• Containerization
• Orchestration tools

Soft Skills:

• Strong communication skills
• Team spirit
• Hands-on mindset

Qualifications:

• Several years of experience in ML engineering or support of data science in a commercial setting
• Strong background in machine learning, data engineering, or software development

Years of Experience:

5

Location:

Koblenz, Saxony, Germany, EU

Job Benefits:

• Flexible working hours with mobile work options
• Access to a modern, fully equipped workplace
• Health and wellness programs including fitness courses
• In-house canteen providing healthy meals
• Corporate benefits and job bike options
• Company pension scheme
• Support for childcare solutions

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster a culture of innovation and collaboration, prioritizing the well-being of our employees. Our diverse workplace values inclusivity and encourages personal and professional growth.

Opportunities For Advancement:

• Mentorship opportunities, Potential transition into leadership roles, Access to in-house training and development programs

Visa Sponsorship:

Available

]]> https://whoneedsengineers.com/jobs/devops-cloud-and-it-operations/senior-site-reliability-engineer-sre-devops/ Mon, 16 Sep 2024 02:45:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/senior-site-reliability-engineer-sre-devops/ Senior Site Reliability Engineer (SRE/DevOps)

Job Description:

We are challenging the traditional consulting firms and proudly claim that our workplace is the most developmental in the consulting industry, where everything is possible. We are looking for an experienced Senior Site Reliability Engineer (SRE/DevOps) to join our team. In this role, you will be dedicated to assisting our clients across both the private and public sectors. Your primary responsibility will involve analyzing complex issues within microservices architecture, leveraging your strong coding and scripting skills. We expect you to have a sharp eye for detail, a proactive mindset, and a genuine passion for problem-solving. If this resonates with you, we encourage you to reach out and discuss further.

IT Languages:

• Python
• Golang
• Java

As a Senior Site Reliability Engineer, you will engage in various responsibilities that include analyzing and troubleshooting complex system issues, designing reliable systems, and contributing to the overall improvement of our service offerings.:

Analyze complex problems related to microservices architecture;; Develop and maintain scripts and code to optimize processes;; Collaborate with cross-functional teams to enhance system reliability;; Implement and manage centralized logging platforms;; Utilize orchestration tools for deployment and monitoring;; Work with public cloud services to deliver scalable solutions

Spoken Languages:

• English;; Swedish

Skillset:

• Microservices
• Distributed Systems
• Scripting
• Centralized Logging
• Orchestration Tools
• Cloud Services

Soft Skills:

• Attention to detail
• Proactive attitude
• Strong problem-solving skills
• Effective communication

Qualifications:

• Solid understanding of distributed systems and microservices architecture
• Strong technical background in IT system development and administration
• Experience in software development and/or tool development

Years of Experience:

5

Location:

Stockholm, Stockholm County, Sweden, EU

Job Benefits:

• Opportunities for professional development
• Collaborative work environment
• Employee ownership
• Flexible working hours
• Supportive colleagues

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• Our culture is rooted in freedom, opportunity, and participation, where employees have the chance to shape their work according to their interests and life priorities. Everyone is encouraged to contribute to and influence the company through ownership and collaborative project groups.

Opportunities For Advancement:

• Participation in advisory boards, Project leadership roles, Career development programs

Visa Sponsorship:

Available

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