Senior AI / AI-Ops consultant

For the needs of our client in the banking sector we are now searching for a Senior Consultant specializing in AI & Automation Deployment.

The responsibilities and skills required for this role include a focus on deploying and managing AI-driven applications, particularly those leveraging Generative AI and Large Language Models (LLMs).

The role requires hands-on experience with infrastructure management, containerization, and automation pipelines.

This role is ideal for someone with a deep technical background in both AI and infrastructure, who can guide projects from conception through to deployment and scaling in production environments.

To become a part of the UKAD team, make sure you are familiar with these technologies :

• Experience with Generative AI and Large Language Models (LLMs), including OpenAI
• Knowledge of ML frameworks : TensorFlow, PyTorch, or Hugging Face
• Experience with Docker and Kubernetes, particularly with AKS (Azure Kubernetes Service) for container orchestration
• Experience in administering and configuring Databricks for resource optimization and security.
• Experience in building and managing CI / CD pipelines for automating the deployment of AI applications
• Experience with Terraform, ARM (Azure Resource Manager), Bicep
• Azure, including Azure Machine Learning, Azure Data Factory, and other related services
• Git and an active GitHub profile

And a few more points to match :

• 6+ years of relevant experience
• Experience as a DevOps specialist
• Structured and analytical thinking
• Drive to learning and self-education, thirst for knowledge, and gaining skills
• Spoken English and desire to speak English
• Passion for helping others
• Sharing our values and keeping communication respectful and friendly.

We also expect you to be a really self-driven person because micromanagement and total control are not about UKAD. Feel free to choose technologies and solutions, in which you believe, as well as to be creative and responsible for the results.

Key Responsibilities :

• Automation & Deployment Pipelines : Design, implement, and manage automation processes, including CI / CD pipelines, for deploying Generative AI applications.
• Large Language Models (LLMs) : Work directly with large-scale AI models, including fine-tuning, optimizing, and deploying them in production environments.
• Infrastructure Management : Container-Based Deployments : Experience with AKS (Azure Kubernetes Service) for container orchestration.
• Databricks Administration : Set up and manage Databricks environments, ensuring efficient use of resources and security.
• Infrastructure as Code (IaC) : Develop and manage templates using Terraform, ARM (Azure Resource Manager), and Bicep for infrastructure deployment.
• AI & ML Deployment : Implement AI models, particularly those using OpenAI technology, into scalable applications.
• Collaboration & Consulting : Work closely with clients or internal teams to deliver AI solutions, providing expert advice on best practices for deployment and automation.

What we offer :

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates’ opinions)
• Competitive salary and other stuff (all the details here)
• Becoming not just another developer, but a part of UKAD with unique value and long-term relationships.

Some facts about UKAD to help you make a decision :

• During 2022-2024, we only increased cooperation with our foreign partners
• UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
• Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
• UKAD is one of the leading employers in Kharkiv, according to DOU
• We never hire people for projects, but to build the team, so if the project ends, you remain a part of UKAD.

Aren’t we a company you’re looking for?