ML Engineer

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

Remote work from anywhere.

• •3+ years of experience as an ML Engineer or similar role.
• •Strong Python skills (scikit-learn, pandas, NumPy, matplotlib).
• •Solid understanding of ML fundamentals (regression, classification, clustering, validation, metrics).
• •Experience with TensorFlow, PyTorch, or Keras.
• •Proven experience with AWS SageMaker.
• •Familiarity with AWS Bedrock for foundational and generative models (LLM).
• •Data preprocessing, feature engineering, and model evaluation experience.
• •SQL knowledge and experience with structured/semi-structured data.
• •ML deployment experience (FastAPI/Flask, Docker).
• •Exposure to MLOps (pipelines, versioning, monitoring, reproducibility).
• •Proficiency with Git.
• •Strong analytical, communication, and problem-solving skills.
• •Willingness to stay updated with ML and AI tools.
• •English: Intermediate+.
• •Desired: Experience with cloud platforms (AWS, GCP, Azure) and managed ML services (SageMaker, Vertex AI).
• •Experience with MLFlow, DVC, Airflow, or similar tools.
• •CI/CD for machine systems.
• •Big data tools (Spark, Hadoop).
• •Knowledge in data security and ethical AI.
• •Experience with NLP/LLM, computer vision, or agent AI.