Machine Learning Engineer

Machine Learning Engineer

Key Responsibilities

• Collaborate with business stakeholders to understand requirements and translate them into ML problem statements.
• Develop and deploy

  machine learning and deep learning models

  using frameworks such as

  TensorFlow

  ,

  PyTorch

  , or

  Keras

  .
• Build

  end-to-end ML pipelines

  from data ingestion, preprocessing, feature engineering to training and deployment.
• Work with

  structured and unstructured data

  , applying advanced data preprocessing and augmentation techniques.
• Integrate ML models into scalable backend systems or APIs.
• Monitor model performance and design

  model evaluation/operationalization metrics

  .
• Deployment of models using

  cloud platforms

  such as

  AWS Sagemaker

  ,

  Azure ML

  , or

  GCP AI Platform

  .
• Collaborate using

  Git

  , participate in code reviews, and follow CI/CD and DevOps best practices.

Job Requirements

• Educational Background:

  Bachelors/Master’s degree in Computer Science, Engineering, Statistics, or related fields.

• Programming:

  Proficient in Python with solid knowledge of data science libraries such as

  NumPy

  ,

  pandas

  ,

  scikit-learn

  , etc.

• AI/ML Expertise:

• Strong hands-on experience in machine learning, deep learning, and model deployment.
• Experience with TensorFlow, PyTorch, Keras, or equivalent frameworks.
• Understanding of feature engineering, model selection, and hyperparameter tuning.

• Data & Database Skills:

• Proficiency in SQL and experience working with

  relational

  and

  NoSQL

  databases.

• Cloud & DevOps:

• Familiarity with

  Docker

  , and cloud deployments.

• Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and ability to work independently or as part of a collaborative team.

Nice to Have

• Experience with cloud-based ML platforms like

  AWS EC2/Lambda/Sagemaker

  ,

  Azure

  , or

  GCP

  .
• Exposure to

  MLOps

  tools and practices (e.g., model versioning, monitoring, A/B testing).

  Role & responsibilities