UC

ML Engineer

4.0/10

Unknown Company

Not specified
Remote
mid
about 2 months ago
aidevPythonscikit-learnpandasNumPymatplotlibTensorFlowPyTorchKerasAWS SageMakerAWS Bedrock

AI Summary

The vacancy lacks compensation details and company information but provides a clear tech stack and reasonable requirements for a middle-level role.

Check Match โ€” Just drop your CV

See your fit for ML Engineer in seconds.

Description

Seeking an ML Engineer with 3+ years of experience, strong Python skills, and familiarity with AWS SageMaker and Bedrock.

Remote work from anywhere.

Requirements

  • โ€ข3+ years of experience as an ML Engineer or similar role.
  • โ€ขStrong Python skills (scikit-learn, pandas, NumPy, matplotlib).
  • โ€ขSolid understanding of ML fundamentals (regression, classification, clustering, validation, metrics).
  • โ€ขExperience with TensorFlow, PyTorch, or Keras.
  • โ€ขProven experience with AWS SageMaker.
  • โ€ขFamiliarity with AWS Bedrock for foundational and generative models (LLM).
  • โ€ขData preprocessing, feature engineering, and model evaluation experience.
  • โ€ขSQL knowledge and experience with structured/semi-structured data.
  • โ€ขML deployment experience (FastAPI/Flask, Docker).
  • โ€ขExposure to MLOps (pipelines, versioning, monitoring, reproducibility).
  • โ€ขProficiency with Git.
  • โ€ขStrong analytical, communication, and problem-solving skills.
  • โ€ขWillingness to stay updated with ML and AI tools.
  • โ€ขEnglish: Intermediate+.
  • โ€ขDesired: Experience with cloud platforms (AWS, GCP, Azure) and managed ML services (SageMaker, Vertex AI).
  • โ€ขExperience with MLFlow, DVC, Airflow, or similar tools.
  • โ€ขCI/CD for machine systems.
  • โ€ขBig data tools (Spark, Hadoop).
  • โ€ขKnowledge in data security and ethical AI.
  • โ€ขExperience with NLP/LLM, computer vision, or agent AI.
Loading similar jobs...