Machine Learning Engineer

About the Role:

Machine Learning Engineer

Key Responsibilities:

• Design, develop, and deploy

  machine learning models

  for structured and unstructured data.
• Collaborate with data scientists to

  translate research prototypes into production-ready solutions

  .
• Preprocess, clean, and analyze large datasets to ensure

  high-quality model training

  .
• Optimize, fine-tune, and validate models to improve

  accuracy, efficiency, and scalability

  .
• Implement

  end-to-end ML pipelines

  , including feature engineering, model training, evaluation, deployment, and monitoring.
• Integrate machine learning models into

  software applications, APIs, or cloud platforms

  .
• Monitor deployed models and ensure performance,

  fairness, and reliability

  over time.
• Keep up-to-date with

  latest ML techniques, frameworks, and industry best practices

  .
• Collaborate with

  DevOps and MLOps teams

  to maintain reproducibility and scalability of ML workflows.

Preferred Qualifications:

• Experience with

  deep learning architectures

  (CNN, RNN, Transformers, GANs).
• Knowledge of

  MLOps, model versioning, monitoring, and CI/CD pipelines

  .
• Experience with

  big data tools

  (Spark, Hadoop, Kafka).
• Publications or contributions to

  AI/ML research or open-source projects

  .
• Professional certifications in

  ML/AI or cloud platforms

  .