Senior AI Engineer

8 months ago

Remote, UkraineSenior

Responsibilities

Design, train, fine-tune, and evaluate classical ML, deep-learning, generative AI, computer-vision, and forecasting models.
Perform exploratory data analysis, statistical testing, time-series analysis, and forecasting to support features, prompts, and business KPIs.
Build reproducible data ingestion, feature engineering, prompt-store, training, CI/CD, and automated-monitoring workflows.
Develop prompts, RAG pipelines, and autonomous or assistive agents, including fine-tuning LLMs on domain-specific datasets.
Expose AI components as microservices and event-driven workflows and integrate them with Airflow, Prefect, and business APIs.
Track advances in LLMs, computer vision, and analytics and share engineering best practices.
Mentor junior engineers and contribute to technical direction.

BSc in Computer Science, Mathematics, or a related field.
5+ years of professional experience working on AI/ML projects.
Good written and spoken English.
Proficiency in Python, PyTorch or TensorFlow, scikit-learn, pandas, and NumPy.
Understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling, visualization, and exploratory analysis using Matplotlib or Plotly.
Familiarity with at least one of OpenCV, Hugging Face Transformers, LangChain, MLflow, or a similar tool.
Understanding of software-engineering practices including Git, code reviews, testing, and CI.
Preferred: C++ or C# experience, model deployment with Docker, Kubernetes, or cloud AI services, vector databases, RAG workflows, BI or dashboard tools, time-series frameworks, MLOps/LLMOps tooling, image processing, Spark, distributed data processing, Databricks, AWS EMR, GCP Dataproc, SQL optimization, and data lake architectures.

Apache AirflowApache SparkC#C++DatabricksDockerDVCGitHugging Face TransformersKubernetesMatplotlibMLflowNumPyOpenCVPandasPython PyTorchscikit-learnSQLTensorFlow

501-1,000 employees