Machine Learning Engineer

Momentum Services; Navi Mumbai; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Momentum Services is seeking a Machine Learning Engineer to design, build, train, and deploy AI-driven solutions that solve complex business problems. You will work with data scientists, software engineers, and stakeholders to turn data into scalable intelligent systems.

The role requires strong Python skills and hands-on experience with ML frameworks, cloud platforms, and MLOps practices. You will contribute to data pipelines, model monitoring, and API services for production environments in a

Qualifications

• 5+ years hands-on experience in developing, training, and deploying ML models in production environments.
• Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.
• Experience in data preprocessing, feature engineering, model evaluation, and optimization.
• Exposure to cloud-based ML solutions (Azure, AWS, GCP), MLOps, CI/CD, and model monitoring.

Responsibilities

• Design, build, train, validate, and deploy ML models to address business challenges.
• Collaborate with stakeholders to translate requirements into AI/ML solutions.
• Perform data collection, cleansing, preprocessing, and feature engineering.
• Evaluate model performance and optimize for accuracy and scalability.
• Develop and maintain data pipelines for ML workflows.
• Implement MLOps for deployment, versioning, monitoring, and retraining.
• Integrate ML solutions into production systems with engineering teams.
• Conduct exploratory data analysis and derive insights from large datasets.
• Prepare technical documentation and model reports.
• Ensure security, governance, and compliance in AI implementations.
• Support production issues and continuous improvement of deployed models.
• Participate in sprint planning, code reviews, and API development for serving models.

Skills

Python

ML frameworks

Cloud platforms

MLOps

CI/CD

SQL

Git

Docker

APIs

NLP/DL/CV/GenAI

Tools

Scikit-learn

TensorFlow

PyTorch

Keras

Job description

The founding of Metropolitan dates to as early as 1898 and Momentum traces its roots to being established in 1966. Momentum Group was formed from the merger of Metropolitan and Momentum, two sizeable and diverse insurance-based financial services companies in South Africa and was listed on the Johannesburg Stock Exchange on 1 December 2010.

In order to grow its international footprint and diversify its revenue streams, Momentum Group actively pursues financially viable opportunities across the world. Aditya Birla Health Insurance Company Limited, a joint venture with Aditya Birla Capital Limited, was incorporated in 2015 and was our first expansion into India.

Having experienced India first‑hand as a hub of both talent and opportunity, we set up Momentum Services in 2017, a wholly‑owned Mumbai‑based global in‑house centre to leverage IT, ITES and Business support services to all our businesses worldwide.

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

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 production‑ready intelligent systems.

Requirements

• 5+ yrs of hands‑on experience in developing, training, and deploying MachineLearning models in production environments.
• Strong proficiency in Python and Machine Learning frameworks such as Scikitlearn, TensorFlow, PyTorch, or Keras.
• Experience in data preprocessing, feature engineering, model evaluation, andoptimization using structured and unstructured datasets.
• Exposure to cloud‑based ML solutions (Azure, AWS, or GCP), MLOps practices,CI/CD pipelines, and model monitoring.

Duties & Responsibilities

• KEY ACCOUNTABILITIES/KRAs/KPIs: Design, build, train, validate, and deploy machine learning models to addressbusiness challenges.
• Collaborate with business stakeholders to understand requirements and translatethem into AI/ML solutions.
• Perform data collection, cleansing, preprocessing, and feature engineeringactivities.
• Evaluate model performance using appropriate metrics and optimize models foraccuracy 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 productionsystems.
• Conduct exploratory data analysis and derive meaningful insights from largedatasets.
• Prepare technical documentation, model reports, and implementation guides.
• Ensure adherence to security, governance, and compliance standards in AIimplementations.
• Support production issues and continuously improve deployed machine learningsolutions.
• Participate in sprint planning, code reviews, and technical discussions.
• Develop and optimize APIs and services for serving machine learning models inproduction environments.
• Monitor model performance, drift, and data quality, ensuring timely retrainingand enhancements.
• Build scalable and reusable ML solutions that can be leveraged across multiplebusiness use cases.
• Conduct proof of concepts (POCs) and feasibility assessments for new AI/MLinitiatives.

Mandatory Skills

• Strong proficiency in Python programming.
• Experience with Machine Learning frameworks such asScikit‑learn, TensorFlow, PyTorch, or Keras.
• Good understanding of Machine Learning algorithms,statistics, and probability concepts.
• Experience with data preprocessing, feature engineering,and model validation techniques.
• Strong knowledge of SQL and database systems.
• Experience with cloud platforms such as Azure ML, AWSSageMaker, or Google Vertex AI.
• Understanding of MLOps, model deployment, monitoring,and automation.
• Experience with Git, Docker, and CI/CD pipelines.
• Knowledge of NLP, Deep Learning, Computer Vision, orGenerative AI concepts.
• Familiarity with API development and microservicesarchitecture.
• Strong debugging, analytical, and optimization skills.

Preferred Skills

• Experience with LLMs, RAG architectures, LangChain,Semantic Kernel, or AI Agents.
• Experience in Generative AI product development.

Additional Skills

• Strong analytical and critical‑thinking skills.
• Excellent verbal and written communication skills.
• Proactive and self‑motivated individual.
• Strong ownership and accountability mindset.
• Effective collaboration and teamwork abilities.
• Continuous learning attitude and innovation mindset.
• Ability to manage priorities and deliver results within timelines.