Navi Mumbai Maharashtra Mlops engineer Jobs – 31 Open Jobs Today

MLOps Engineer
Mobileprogramming PVT LTD —Navi Mumbai, Maharashtra
- ₹8,50,000 - ₹11,00,000 a year
- Full-time
- Azure
- DevOps
- AWS
Quick apply
5d
Machine Learning Engineer
MobileProgramming —Navi Mumbai, Maharashtra
- Azure
- Computer Science
- Master's degree
Machine Learning Engineer II (MLOps/Agentic Ai)
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- SQL
- Analysis skills
- Bachelor's degree
Custom Software Engineer
Accenture —Navi Mumbai, Maharashtra
- Full-time
- Azure
- Management
- Computer Science
Machine Learning Engineer
T7E —Mulund, Mumbai, Maharashtra
- Research
- Master's degree
- SQL
Lead Machine Learning Engineer (MLops)
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- SQL
- Math
- Bachelor's degree
Sr. D&T Machine Learning Engineer
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- SQL
- Bachelor's degree
- Machine learning
AI/ML Engineer
Nimap Infotech —Kurla, Mumbai, Maharashtra
- ₹12,00,000 a month
- Full-time
- Master's degree
- Databases
- APIs
Quick apply
Lead Architect
Orange Business —Navi Mumbai, Maharashtra
- Azure
- Computer Science
- Salesforce
- Health insurance
- Work from home
IoT & AI Developer
Periscope Technologies —Ghatkopar West, Mumbai, Maharashtra
- Up to ₹30,00,000 a year
- Full-time
- Computer Science
- Research
- Master's degree
- Health insurance
- Paid time off
Quick apply
10h
DevOps Engineer
Larsen & Toubro —Powai, Mumbai, Maharashtra
- Computer Science
- DevOps
- Java
Lead Architect
MasORange —Navi Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Salesforce
- Health insurance
- Work from home
AI Engineer – Artificial Intelligence, Machine Learning & Generative AI
Sealink Associates —Andheri, Mumbai, Maharashtra
- ₹9,00,000 - ₹14,00,000 a year
- Full-time
- Azure
- Computer Science
- ERP systems
Quick apply
Lead Data Scientist
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- Computer Science
- SQL
- Bachelor's degree
Senior Data Scientist
Aker Solutions —Mumbai, Maharashtra
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Health insurance
- Work from home
12d
Senior Data Scientist
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL

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MLOps Engineer

Mobileprogramming PVT LTD -
Navi Mumbai, Maharashtra

Quick apply

Job details

Full-time
₹8,50,000 - ₹11,00,000 a year
5 days ago

Qualifications

TensorFlow
CI/CD
Cloud infrastructure
Azure
Kubernetes
PyTorch
Software deployment
DevOps
Configuration management
Git
Google Cloud Platform
AWS
Analysis skills
Docker
Machine learning
Distributed systems
Terraform
Continuous integration
Scripting
Linux
Data science
Training & development
Jenkins
Python

Full job description

MLOps Engineer

Location: Navi Mumbai, India
Job Type: Full-time
Experience: 3+ Years
Department: Machine Learning Engineering / DevOps

About the Role

We are seeking an experienced MLOps Engineer to help build and operate reliable machine learning platforms and production ML workflows. This role sits at the intersection of software engineering, machine learning, cloud infrastructure, and DevOps.

The successful candidate will help data science teams move models from experimentation into production while establishing repeatable processes for deployment, monitoring, versioning, scalability, and operational support.

Key Responsibilities

Build and maintain automated workflows for machine learning model development and deployment.
Collaborate with data scientists and ML engineers to productionize trained models.
Design CI/CD pipelines for machine learning applications, models, and supporting services.
Containerize ML workloads using Docker and manage deployments through Kubernetes.
Implement experiment tracking, model versioning, and lifecycle management using platforms such as MLflow or Kubeflow.
Automate infrastructure and application provisioning using infrastructure-as-code practices.
Develop reliable deployment processes across development, testing, staging, and production environments.
Work with AWS, Azure, or Google Cloud to deploy and operate machine learning workloads.
Build and maintain data and model pipelines using technologies such as Airflow.
Configure monitoring and observability for machine learning services and infrastructure.
Track model performance, system health, resource utilization, and operational metrics.
Investigate failed pipelines, deployment issues, infrastructure problems, and production incidents.
Implement appropriate logging, alerting, rollback, and recovery mechanisms.
Maintain secure and reproducible development and deployment environments.
Work with engineering and data teams to improve the scalability and reliability of ML platforms.
Contribute to platform documentation, operational procedures, and engineering standards.

Required Skills & Experience

3+ years of professional experience in MLOps, ML engineering, DevOps, or a closely related field.
Strong Python programming and scripting skills.
Good understanding of machine learning development and deployment workflows.
Hands-on experience with Docker and Kubernetes.
Experience designing and maintaining CI/CD pipelines.
Practical experience with Jenkins, Git, or comparable DevOps tooling.
Familiarity with MLflow, Kubeflow, or similar machine learning lifecycle platforms.
Experience working with at least one major cloud platform: AWS, Azure, or GCP.
Good Linux administration and troubleshooting skills.
Understanding of infrastructure automation and configuration management.
Experience monitoring production systems and investigating operational issues.

Preferred Skills

Experience with Terraform or another infrastructure-as-code solution.
Knowledge of Airflow and workflow orchestration.
Experience supporting TensorFlow, PyTorch, or similar ML frameworks.
Familiarity with model serving and inference architectures.
Understanding of Kubernetes operators and cloud-native patterns.
Knowledge of model monitoring, data drift, and model performance tracking.
Experience with security practices for cloud and ML environments.
Exposure to scalable distributed systems.

Key Responsibilities in Production

The role will involve ensuring that machine learning solutions remain reliable after deployment. This includes:

Improving deployment repeatability.
Reducing manual intervention in ML releases.
Establishing effective monitoring and alerting.
Supporting model rollback and version management.
Identifying infrastructure and model-related performance issues.
Helping teams achieve reliable and efficient production ML operations.

Key Qualities

Strong automation mindset.
Comfortable working across software, infrastructure, and machine learning environments.
Excellent troubleshooting and incident-analysis skills.
Attention to reliability, security, and scalability.
Ability to collaborate effectively with data scientists, developers, and infrastructure teams.
Willingness to continuously improve engineering processes.

Pay: ₹850,000.00 - ₹1,100,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

mlops engineer jobs in navi mumbai maharashtra

MLOps Engineer

Machine Learning Engineer

Machine Learning Engineer II (MLOps/Agentic Ai)

Custom Software Engineer

Machine Learning Engineer

Lead Machine Learning Engineer (MLops)

Sr. D&T Machine Learning Engineer

AI/ML Engineer

Lead Architect

IoT & AI Developer

DevOps Engineer

Lead Architect

AI Engineer – Artificial Intelligence, Machine Learning & Generative AI

Lead Data Scientist

Senior Data Scientist

Senior Data Scientist

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