Senior AI/ML Engineer

Responsibilities

• Architect, design, and deploy scalable AI/ML solutions using cloud platforms such as AWS, GCP, or Azure.
• Lead the development of complex models for NLP, computer vision, generative AI, and predictive analytics.
• Guide model optimization, feature engineering, and hyper-parameter tuning to ensure robust performance.
• Oversee data engineering pipelines for large-scale, secure, and high-quality data processing.
• Implement and maintain MLOps/LLMOps processes for automated CI/CD, versioning, monitoring, and retraining.
• Collaborate with product, engineering, and client teams to translate business requirements into technical solutions.
• Mentor and technically lead junior engineers and data scientists.
• Ensure best practices in responsible AI, security, compliance, and governance.

Requirements

• 5+ years of professional experience in AI/ML, data science, or a similar technical domain.
• Deep proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Demonstrated experience with cloud-based platforms for ML deployment (e.g., AWS SageMaker, VertexAI).
• Expertise in advanced AI techniques including NLP (LLMs, transformers), computer vision, and RAG architectures.
• Solid MLOps and DevOps experience using Docker, Kubernetes, CI/CD pipelines, MLflow, or DVC.
• Strong data engineering skills including ETL, batch/streaming data, and SQL/NoSQL.
• Proven ability to lead or mentor teams and own delivery for large-scale technical projects.

Benefits

• Learn from experts, including former AWS leaders and AI pioneers.
• Direct ownership of high-impact "greenfield" projects from concept to global launch.
• Opportunity to master the latest Generative AI frameworks and cloud-native architectures.
• Work on mission-critical systems used by major global enterprises.
• Rapid career scaling in a high-speed environment.

About the Company

Aivar is an AI-first technology partner where cutting-edge technology meets industry expertise. Our AI-augmented teams accelerate development, reduce time-to-market, and deliver exceptional code quality, crafting scalable solutions that drive real momentum for businesses.