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Artificial Intelligence Engineer

9 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title:

Location:

Experience:

Job Type:

Job Summary:

AI/ML Engineer with strong AWS Cloud experience

Key Responsibilities:

  • Design, develop, and deploy

    machine learning models

    for predictive analytics, classification, NLP, or computer vision tasks.
  • Use

    AWS services

    like

    SageMaker, S3, Lambda, Glue, EC2, EKS, and Step Functions

    for ML workflows and deployments.
  • Preprocess and analyze large datasets for training and inference.
  • Build scalable data pipelines and automate model training and evaluation.
  • Collaborate with data engineers, scientists, and DevOps teams to productionize models.
  • Optimize models for performance, interpretability, and scalability.
  • Implement

    MLOps

    best practices (versioning, monitoring, model retraining pipelines).
  • Conduct A/B testing and model performance tuning.

Key Skills and Qualifications:

Technical Skills:

  • Strong proficiency in

    Python

    (including pandas, NumPy, Scikit-learn, etc.)
  • Solid understanding of

    ML algorithms

    (regression, classification, clustering, deep learning)
  • Experience with

    TensorFlow, PyTorch, or Keras

  • Hands-on experience with

    AWS cloud services

    :
  • SageMaker

    ,

    S3

    ,

    Glue

    ,

    Lambda

    ,

    Step Functions

    ,

    CloudWatch

    ,

    IAM

    , etc.
  • Experience with

    MLOps tools

    : MLflow, Docker, Git, CI/CD pipelines
  • Knowledge of

    data pipeline frameworks

    (Airflow, AWS Glue, etc.)
  • Familiarity with

    SQL

    and data wrangling in distributed environments (e.g., Spark)

Nice to Have:

  • Experience with

    NLP, LLMs, or Computer Vision

  • Exposure to

    Big Data

    technologies (Kafka, Hadoop, etc.)
  • Familiarity with

    API development

    using Flask or FastAPI
  • Knowledge of

    Kubernetes

    for model container orchestration

Educational Qualifications:

  • Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field.

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