Lead Machine Learning Engineer (AI)

Location: Bulgaria or Poland; remote or office-based, with travel up to 2–3 weeks per month for customer and partner engagements

Company

hirify.global delivers engineering and technology solutions for enterprise clients across international markets.

What you will do

• Design, develop, train, evaluate, and deploy machine learning and AI models for enterprise use cases.
• Build and optimize Generative AI, LLM, RAG, AI agent, and NLP applications.
• Develop production-ready ML pipelines, inference services, APIs, and AI application components.
• Apply prompt engineering, model optimization, fine-tuning, and model evaluation techniques.
• Optimize AI workloads for GPU infrastructure and on-premises or hybrid enterprise environments.
• Implement MLOps practices covering model versioning, deployment, monitoring, evaluation, and lifecycle management.

Requirements

• 4+ years of experience in Data Science, Machine Learning, AI Engineering, or related roles.
• Hands-on experience delivering enterprise AI/ML solutions and developing LLM applications using Generative AI, LLMs, RAG, AI agents, and NLP.
• Advanced Python proficiency and experience with PyTorch, TensorFlow, Hugging Face, or similar frameworks.
• Knowledge of the complete ML lifecycle, MLOps, production ML environments, and model optimization.
• Experience with on-premises or hybrid deployments, cloud platforms such as Azure, AWS, or Google Cloud, and containerized Kubernetes environments.
• Ability to communicate complex technical concepts to enterprise customers and collaborate with architects, engineers, infrastructure specialists, and business stakeholders.

Nice to have

• Experience with NVIDIA AI Enterprise, NVIDIA GPUs, CUDA, NIM, NeMo, or related NVIDIA technologies.
• Experience optimizing LLM inference workloads on GPU infrastructure.
• Experience with Kubernetes, VMware, Snowflake, Databricks, Splunk, ServiceNow, IBM watsonx, or Cisco technologies.
• Experience delivering AI solutions in the Middle East or Central Asia or in highly regulated environments.
• Experience working with technology partners and OEMs.

Culture & Benefits

• Remote or office-based work from Bulgaria or Poland.
• International collaboration with solution architects, technology partners, enterprise customers, and engineering teams.
• Opportunity to work on complex AI engagements across the Middle East and Central Asia.
• Equal opportunity employment.

Hiring process

• Submit an application and complete the contact form.
• The recruiting team will follow up with next steps.