Ml Ops

2 weeks ago


Bangalore City Bengaluru Karnataka, India PT Millenio Amerta Data (Kecilin.id) Full time

**Responsibilities**:

- Implement and optimize continuous integration/continuous deployment (CI/CD) pipelines for machine learning models
- Collaborate with DevOps and IT teams to integrate machine learning workflows with existing systems and infrastructure
- Develop the engineering architecture and data pipelines needed to enable large-scale machine learning systems
- Work with stakeholders across the organization to understand their machine learning needs and requirements, and to develop MLOps solutions that meet those needs
- Implement best practices for version control, model versioning, and reproducibility in machine learning projects

**Required Qualifications**:

- Bachelor’s/Master's degree in Computer Science, Artificial Intelligence, or a related field
- 2+ years of experience in MLOps, Machine Learning engineering, Data engineering, or a related field
- Solid understanding of ML model training concepts
- Experience with popular ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with model deployment tools (e.g., Airflow, MLflow, TensorFlow Serving, Kubeflow)
- Proven experience deploying machine learning models into production environments
- Expertise in building and maintaining CI/CD pipelines for machine learning
- Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes
- Experience in any of the cloud platforms (Azure, Google Cloud, or AWS)
- Knowledge of using monitoring and logging tools (e.g., Prometheus)

**Salary**: ₹100,000.00 - ₹250,000.00 per month


  • ML Ops

    2 days ago


    Bengaluru, Kochi, India 4seer Technologies Full time ₹ 8,00,000 - ₹ 12,00,000 per year

    Job Description ML Ops Engineer (2–3 Years Experience)Position OverviewWe are looking for a passionate and skilled ML Ops Engineer with 2–3 years of experience to join our AI initiatives and services team. The ideal candidate will not only be strong in operationalizing machine learning workflows but also have hands-on exposure or working knowledge in...

  • ML Ops Engineer

    4 weeks ago


    Bengaluru, India L&T Technology Services Full time

    Job Title : ML Ops EngineerLocation: BengaluruExperience : 7+YearsML Ops EngineerProgramming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)Required Skills: MLflow,...

  • ML Ops Engineer

    2 days ago


    Bengaluru, Karnataka, India L&T Technology Services Full time ₹ 6,00,000 - ₹ 18,00,000 per year

    Job Title : ML Ops EngineerLocation: BengaluruExperience : 7+YearsML Ops EngineerProgramming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)Required Skills: MLflow,...

  • Ml ops engineer

    3 weeks ago


    Bangalore, India Aurigo Software Technologies Full time

    Role Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have hands-on...

  • Ml ops engineer

    2 weeks ago


    Bangalore, India Aurigo Software Technologies Full time

    Role Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have...

  • ML Ops Engineer

    3 weeks ago


    Bengaluru, India L&T Technology Services Full time

    Job Title : ML Ops Engineer Location: Bengaluru Experience : 7+Years ML Ops Engineer Programming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn) Required Skills:...

  • ML Ops Engineer

    1 week ago


    Bengaluru, Karnataka, India Agiliad Full time ₹ 12,00,000 - ₹ 36,00,000 per year

    Job Title: ML Ops EngineerLocation: BangaloreExperience: 38 YearsEmployment Type: Full-timeAbout the RoleWe are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production...

  • ML Ops Engineer

    2 weeks ago


    bangalore, India SatSure Full time

    We are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.About SatSure:SatSure is a deep tech, decision Intelligence company that works primarily at...

  • ML Ops Engineer

    7 days ago


    bangalore, India Mastech Digital Full time

    Position Title: ML Ops Engineer 4Complete onsite.Full-Time role Shift Timings: 10-7 pm /11-8 pm /12-9 pmAddress: Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081.Job Description:Roles & Responsibilities:Define the long-term vision and strategy for MLOps initiatives: Set the direction for the organization’s MLOps, model...

  • Ml ops engineer

    2 weeks ago


    Bengaluru, India Aurigo Software Technologies Full time

    Role Brief:We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on...