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Job Type

Full Time

Job Description

Job Title:

Experience Required:

Location:

Senior AI/ML Engineer

Key Responsibilities

  • Design, develop, and deploy machine learning models using

    TensorFlow, PyTorch, and scikit-learn

    .
  • Build and maintain

    ML pipelines

    for model training, validation, and deployment in real-time environments.
  • Collaborate closely with data engineering teams to ensure

    data quality, consistency, and availability

    .
  • Optimize model performance for scalability, latency, and accuracy in production systems.
  • Implement model monitoring, versioning, and retraining strategies to ensure ongoing performance.
  • Integrate models with

    streaming data systems

    such as

    Apache Kafka

    and other real-time tools.

Must Have Skills

  • 7+ years

    of experience in AI/ML model development and deployment.
  • Hands-on expertise in

    TensorFlow, PyTorch, and scikit-learn

    .
  • Strong proficiency in

    Python

    and ML workflow orchestration.
  • Experience building

    real-time data-driven solutions

    using tools like

    Kafka

    .
  • Proven experience in

    productionizing, optimizing, and monitoring

    ML models.
  • Ability to work collaboratively with data engineering and DevOps teams.

Good to Have

  • Knowledge of

    MinIO, S3, or other object storage systems

    .
  • Experience with

    AWS SageMaker

    or other

    cloud-based AI/ML platforms

    (e.g., Azure ML, GCP Vertex AI).

Educational Qualification

  • Bachelor’s or Master’s degree in

    Computer Science, Data Science, Artificial Intelligence, or related fields

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