
MLOps Engineer
11 hours ago
This role is for one of the Weekday's clientsMin Experience: 3 years
Location: Bangalore
JobType: full-time
We are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment, ensuring scalable, reliable, and production-ready ML solutions.
RequirementsKey Responsibilities
- Build and manage ML pipelines across the full lifecycle: data/feature engineering, model training/inference, and real-time/batch processing.
- Work extensively with Azure and Databricks platforms to enable scalable ML solutions.
- Develop backend services and APIs using FastAPI to support ML workflows.
- Implement MLOps best practices, including monitoring data drift, model drift, and online learning.
- Collaborate with data engineers, data scientists, and cross-functional stakeholders to deliver business-focused ML solutions.
- Use Python, PySpark, and T-SQL for development and data orchestration.
- Set up and maintain CI/CD workflows with GitHub Actions for continuous integration and deployment.
- (Good to have) Contribute to deployment and monitoring of LLM-based GenAI solutions.
- 3–5 years of relevant experience as an MLOps Engineer.
- Strong hands-on expertise in MLOps, Python, PySpark, Azure Databricks, and CI/CD pipelines.
- Knowledge of backend frameworks (FastAPI) and modern cloud-based ML deployments.
- Strong problem-solving, debugging, and collaborative skills.
- Core: MLOps, Python, PySpark, T-SQL, Azure Databricks, CI/CD (GitHub Actions), FastAPI
- Preferred: LLM-based GenAI deployment
-
MLOps Engineer
11 hours ago
Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per yearThis role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...
-
MLOps Engineer
9 hours ago
Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per yearThis role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...
-
MLOps Engineer
3 weeks ago
Bengaluru, Karnataka, India Infometry Full timeLocation : RemoteRole : MLOps EngineerEXP : 7-10yrsJob Summary :We are seeking a highly skilled and motivated MLOps Engineer to join our team. The ideal candidate will be responsible for streamlining the deployment, scaling, and monitoring of machine learning models in production. You should have a strong background in Python, PySpark, cloud platforms (AWS &...
-
MLOps Engineer
4 days ago
Bengaluru, Karnataka, India TekPillar® Full time ₹ 20,00,000 - ₹ 25,00,000 per year"We're Hiring for MLOps Engineer at Bangalore"Job Role:MLOps EngineerExperience:7+ YearsLocation:BangaloreKey Responsibilities:Develop and maintain scalable ML pipelines and backend services.Build, deploy, and manage applications using Python and frameworks like Tornado and FastAPI .Work with RDBMS models in cloud environments for data storage and...
-
MLOps Engineer
6 days ago
Bengaluru, Karnataka, India Mobileprogramming Full time ₹ 18,00,000 - ₹ 19,00,000 per yearJob Description:Job Title: MLOps EngineerExperience: 3+ YearsBudget: ₹16–18 LPALocation: BanagloreJoining: Immediate (Preferred)About the RoleWe are looking for an experienced MLOps Engineer to join our team and play a key role in deploying, monitoring, and scaling machine learning models in production. This position demands strong expertise in Python,...
-
MLOps Engineer
4 weeks ago
Bengaluru, Karnataka, India Coders Brain Full timeJob DescriptionRoles and Responsibilities:- Minimum of 4 to 16 years of relevant work experience as MLOps engineer- Strong hands on Experience in managing reproducible AI/ML CICD pipeline usingAWS Sagemaker, Cloud formation, Kubernetes, docker- Well-versed in data structures, data modelling, and database management systems, model onboarding, automated model...
-
MLOps Engineer
2 weeks ago
Bengaluru, Karnataka, India Grid Dynamics Full timeJob DescriptionWe are seeking a skilledML Ops Engineerto join our team and streamline the deployment, monitoring, and management of machine learning models at scale. You will collaborate closely with data scientists, engineers, and DevOps to build robust, scalable ML infrastructure and CI/CD pipelines for AI/ML workflows.ML Ops engineer/ML engineerProject...
-
MLOps Engineer
1 week ago
Bengaluru, Karnataka, India foundit Full time ₹ 1,04,000 - ₹ 1,30,878 per yearPosition: MLOps EngineerExperience: 6+ YearsLocation: BengaluruRequired Skills: ● Demonstrated ability in designing, building, refactoring and releasing software written in Python. ● Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton. ● Ability to handle framework-related issues, version upgrades, and compatibility with data...
-
Senior MLOps Engineer
11 hours ago
Bengaluru, Karnataka, India Wenger & Watson Full time ₹ 12,00,000 - ₹ 36,00,000 per yearRole & responsibilitiesAs MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers todeploy and operate advanced analytics machine learning models. Youll help automate andstreamline Model development and Model operations. Youll build and maintain tools fordeployment, monitoring, and operations. Youll also troubleshoot and resolve...
-
MLOps Engineer
3 weeks ago
Bengaluru, Karnataka, India F-Secure Full timeAbout The Role :We are looking for Machine Learning Engineers to join our Technology team in Bengaluru At F-Secure, we're building the next generation of AI-powered cybersecurity defenses that protect millions of users globally.Our ML models operate in dynamic environments where threat actors constantly evolve their techniques.We're looking for a motivated...