Senior AI/ML Engineer

We are looking for a Senior AI/ML Engineer to join a fast-growing US-based AI startup that is building a next-generation data intelligence platform. The product transforms large volumes of unstructured data into structured, actionable insights through applied machine learning, GPU compute, and automated pipelines.

You’ll work closely with the CTO and a Data Engineer to design and build the platform’s core AI capabilities — from data ingestion and transformation to ML model deployment and observability. This role is ideal for someone who thrives in early-stage environments, enjoys hands-on experimentation, and wants to shape an AI-driven product from the ground up.

Experience / Skills required

• 5+ years of professional experience in machine learning or AI engineering
• Strong proficiency in Python and applied ML (data extraction, transformation, and structuring)
• Experience building ML pipelines, data workflows, and model deployment
• Understanding of unstructured → structured data transformation use cases
• Cloud experience (GCP preferred, AWS acceptable)
• Familiarity with MLOps tooling (MLFlow, Kubeflow, Airflow, Vertex AI)
• Strong grasp of data engineering concepts (ETL, orchestration, CI/CD)
• Excellent communication skills
• Upper-Intermediate+ English

Nice to have:

• Experience with Modal (GPU-as-a-Service) or GPU workloads
• Prior startup or R&D experience
• Familiarity with data observability, monitoring, and model quality metrics

Responsibilities:

• Design, build, and iterate on ML models for large-scale data transformation
• Collaborate with the CTO and Data Engineer to define the system architecture
• Prototype, validate, and deploy ML-driven product features
• Establish best practices for training, testing, and deploying ML models
• Contribute to the R&D roadmap and product-level decision-making

We offer:

• Paid vacation (up to 20 working days)
• Paid sick leaves (10 working days)
• National holidays as paid time off
• Flexible working schedule and fully remote format
• Direct collaboration with the client’s core engineering and AI team
• Dynamic startup environment with high autonomy and ownership
• Opportunity to build foundational AI infrastructure and shape a global product
• Regular online team-building activities and strong, transparent culture