AI Model Developer

3 days ago

Alwar, Rajasthan, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000

Job Summary:

This position involves developing and deploying machine learning models using various frameworks and tools.

About the Role:

  • We are seeking a skilled Machine Learning Engineer with experience in Python, AWS Sagemaker, FastAPI, Flask, Django, scikit-learn, PyTorch, xgboost, lightgbm, mlflow, Bitbucket, Jenkins, Nexus, Autosys, PySpark, Kafka, EMR Serverless, H2O.ai, Docker, and Kubernetes.
  • The ideal candidate will have a solid understanding of machine learning lifecycle, including model development, training, validation, deployment, and monitoring.
  • They should also have experience with ETL processes for ML pipelines using PySpark, Kafka, and AWS EMR Serverless.
  • Familiarity with CI/CD pipelines, particularly those using Bitbucket, Jenkins, Nexus, and Autosys, is highly desirable.
  • The successful candidate will be responsible for designing, developing, and deploying scalable and efficient machine learning models and pipelines.

Key Responsibilities:

  • Design and develop machine learning models using various frameworks and tools.
  • Develop and deploy scalable and efficient machine learning pipelines using AWS Sagemaker, mlflow, and other relevant technologies.
  • Collaborate with cross-functional teams to integrate machine learning models into larger systems.
  • Ensure high-quality code and documentation throughout the development process.
  • Maintain and improve existing machine learning models and pipelines.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
  • 5+ years of experience in machine learning engineering.
  • Strong programming skills in Python, C++, Java, or other relevant languages.
  • Experience with popular machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.
  • Familiarity with containerization using Docker and orchestration using Kubernetes.
  • Experience with cloud-based services such as AWS Sagemaker, Google Cloud AI Platform, and Microsoft Azure Machine Learning.
  • Excellent problem-solving skills and ability to work independently.

Benefits:

  • A competitive salary and bonus structure.
  • A comprehensive benefits package, including medical, dental, and vision insurance.
  • A 401(k) plan with company match.
  • Generous paid time off and holidays.
  • Professional development opportunities and training resources.

How to Apply:

  1. Please submit your resume and cover letter through our website.
  2. We thank all applicants for their interest; however, only those selected for an interview will be contacted.

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