Senior Genai Generative Ai Engineer (Remote)

Senior Genai Generative Ai Engineer | SKM Group | UK

We are a software house with a 15-year history, a rich portfolio, projects all over the world and an appetite for more. We have built our brand on professionalism and flexibility in delivering software solutions. We are not afraid of unconventional ideas and value innovation and imaginative change.

Job Description:

As a Senior Generative AI Engineer, you will lead the design and deployment of advanced AI solutions in cloud environments like AWS, Azure, and GCP. Your responsibilities include building robust data pipelines, optimizing performance, and deploying large language models (LLMs) for various business needs. Emphasizing AI ethics, you’ll ensure responsible practices are integrated throughout development. Additionally, you’ll collaborate with stakeholders to translate business needs into technical requirements and communicate complex AI concepts clearly.

Responsibilities:

• Data Engineering and Pipeline Development:
• Design, build, and maintain robust data pipelines to support AI/ML models.

AI Architecture in Cloud Environments:

• Design and implement AI architectures in cloud environments such as AWS, Azure, or GCP.
• Collaborate with cloud engineers to ensure seamless integration and deployment of AI models.
• Utilize cloud-native tools and services to enhance AI capabilities.

Deployment of Large Language Models (LLMs):

• Deploy and fine-tune LLMs for various business applications.
• Ensure that LLM deployments are scalable, efficient, and secure.
• Monitor and optimize model performance in production environments.

AI Ethics and Responsible AI Practices:

• Integrate ethical considerations and bias mitigation strategies into AI development processes.
• Promote and ensure responsible AI practices across all projects.
• Stay updated on AI ethics guidelines and industry best practices.

Stakeholder Communication and Requirement Gathering:

• Collaborate with stakeholders to understand business needs and translate them into technical requirements.
• Communicate complex technical concepts to non-technical stakeholders effectively.
• Provide regular updates and insights on AI project progress and outcomes.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Advanced Python knowledge for data processing and scripting.
• Hands-on experience with one or more cloud computing platforms (Azure, AWS, GCP).
• Proficiency in RDBMS/NoSQL data stores and appropriate use cases.
• Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.
• Expertise in designing and implementing AI architectures in cloud environments (AWS, Azure, GCP).
• In-depth knowledge of AI ethics, bias mitigation, and responsible AI practices.
• Experience with Infrastructure as Code is a plus.
• Excellent problem-solving skills and ability to work independently in a fast-paced environment
• Strong communication skills and ability to collaborate effectively with team members and external partners, fluent English

What do we offer you?

• Attractive salary
• Large freedom and real influence
• No unhealthy competition, team approach to meeting challenges
• Remote work model
• Company apartments in cool cities across Europe: work and enjoy a memorable getaway

We rely on people who want to create something new and improve our client’s solutions. If you value a good atmosphere and the spirit of cooperation, you will fit in here.

Job Type: Full-time

Pay: Up to 120.000,00€ per year

Experience:

• Python: 5 years (preferred)
• Cloud computing: 5 years (preferred)
• Software Development: 7 years (required)

Work Location: Remote

Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home