Machine Learning Engin 11 Mumbai (India)

Job Description

Role Purpose

The Machine Learning Engineer is responsible for designing, developing, deploying,

and maintaining machine learning models and AI-driven solutions that solve complex

business problems. The role involves working closely with data scientists, software

engineers, and business stakeholders to transform data into scalable and productionready intelligent systems.

Requirements

5+ yrs of hands-on experience in developing, training, and deploying Machine

Learning models in production settings.

Robust proficiency in Python and Machine Learning frameworks such as Scikitlearn, TensorFlow, PyTorch, or Keras.

Experience in data preprocessing, feature engineering, model evaluation, and

optimization using structured and unstructured datasets.

Exposure to cloud-based ML solutions (Azure, AWS, or GCP), MLOps practices,

CI/CD pipelines, and model monitoring.

Duties and Responsibilities

KEY ACCOUNTABILITIES/KRAs/KPIs

Design, build, train, validate, and deploy machine learning models to address

business challenges.

Collaborate with business stakeholders to understand requirements and translate

them into AI/ML solutions.

Perform data collection, cleansing, preprocessing, and feature engineering

activities.

Evaluate model performance using appropriate metrics and optimize models for

accuracy and scalability.

Develop and maintain data pipelines to support machine learning workflows.

Implement MLOps best practices for model deployment, version control,

monitoring, and retraining.

Work closely with engineering teams to integrate ML solutions into production

systems.

Conduct exploratory data analysis and derive meaningful insights from large

datasets.

Prepare technical documentation, model reports, and implementation guides.

Ensure adherence to security, governance, and compliance standards in AI

implementations.

Support production issues and continuously improve deployed machine learning

solutions.

Participa