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 environments.
- 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.
- Participate in sprint planning, code reviews, and technical discussions.
- Develop and optimize APIs and services for serving machine learning models in

production environments.
- Monitor model performance, drift, and data quality, ensuring timely retraining

and enhancements.
- Build scalable and reusable ML solutions that can be leveraged across multiple

business use cases.
- Conduct proof of concepts (POCs) and feasibility assessments for new AI/ML

initiatives. As an applicant, please verify the legitimacy of this job advert on our company career page.
- 346021306

📌 Machine Learning Engineer4-11 (Navi Mumbai)
🏢 Momentum Services
📍 Navi Mumbai