Posted:4 days ago| Platform: Linkedin logo

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Skills Required

ai ml engineering data learning tensorflow pytorch mlflow sagemaker vertex azure aws gcp databricks programming api development fastapi flask airflow spark kafka microservices containerization docker orchestration architecture security

Work Mode

On-site

Job Type

Full Time

Job Description

  • 8+ years of experience in AI/ML engineering, data science, or solution architecture.
  • Strong knowledge of

    machine learning, deep learning, NLP, generative AI

    , and associated frameworks (TensorFlow, PyTorch, Scikit-Learn).
  • Solid understanding of

    MLOps

    , including MLflow, Kubeflow, Sagemaker, Vertex AI, or Azure ML.
  • Expertise with cloud technologies (AWS, Azure, GCP) and modern data platforms (Databricks, Snowflake, BigQuery).
  • Proficiency with programming languages such as

    Python

    ,

    Node JS

    , and experience with API development (FastAPI, Flask, Node.js).
  • Experience with

    data pipelines

    (Airflow, Spark, Kafka) and big data environments.
  • Knowledge of microservices, containerization (Docker), and orchestration (Kubernetes).
  • Strong understanding of architectural patterns and best practices (event-driven architecture, distributed systems, security frameworks).

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