MLOps Engineer

7 days ago


Bengaluru, Karnataka, India Aurigo Software Technologies Full time ₹ 25,00,000 - ₹ 45,00,000 per year

Role Brief: We are seeking a skilled and experienced MLOps Engineer to join our team and drive the operationalization of machine learning models and pipelines at scale. The ideal candidate will be responsible for automating, deploying, monitoring, and maintaining AI/ML solutions. Turning prototypes into robust, customer- ready solutions while mitigating risks like production pipeline failures, will be primary. This role requires expertise in infrastructure management, CI/CD pipelines, cloud services, model orchestration and collaboration with cross- functional teams to ensure seamless deployment into diverse customer environments.

Primary Responsibilities:

  • Strategizing and implementing scalable infrastructure for ML or LLM model pipelines using tools like and cloud services such as AWS (e.g., AWS Batch, Fargate, Bedrock)
  • Manage auto-scaling mechanisms to handle varying workloads and ensure high availability of Rest APIs
  • Automate CI/CD pipelines and Lambda functions for model testing, deployment, and updates, reducing manual errors and improving efficiency.
  • Amazon SageMaker Pipelines for end-to-end ML workflow automation. Optimize utilizing step-functions
  • Conduct drift analysis to detect and respond to data drift, concept drift, and label drift. Implement mitigation strategies such as automated alerts, model retraining triggers, and performance audits.
  • Set up reproducible workflows for data preparation, model training, and deployment.
  • Provision and optimize cloud resources (e.g., GPUs, memory) to meet computational demands of large models like those used in RAG systems
  • Automate retraining workflows to keep models updated as data evolves
  • Work closely with data scientists, ML engineers, and DevOps teams to integrate models into production environments.
  • Implement monitoring tools to track model performance and detect issues like drift or degradation in real- time. Monitoring dashboards with real-time alerts for pipeline failures or performance issues C Implementing Model Observability frameworks.

Required Skills:


• Education Any Engineering (BE/Btech/ME/Mtech)

  • Min 4 years of experience with AWS services such as Lambda, Bedrock, Batch with Fargate, RDS (PostgreSQL), DynamoDB, SQS, CloudWatch, API Gateway, SageMaker
  • Should have hands-on experience in drift analysis, including detecting and mitigating data, concept, and label drift in production ML systems
  • Knowledge of ML frameworks (e.g., PyTorch, TensorFlow) to understand model requirements during deployment
  • Experience with Rest API Frameworks like Fast APIs, Flask
  • Familiarity with model observability like Evidently, Nanny ML, Phoenix and monitoring tools (Grafana etc) and retraining tools like MLflow/ Kubeflow / Airflow
  • AWS Certified Machine Learning Specialty Good to have this certification

  • MLOps Engineer

    7 days ago


    Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    This 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

    7 days ago


    Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    This 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

    7 days ago


    Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 18,00,000 per year

    This 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

    1 day ago


    Bengaluru, Karnataka, India XPT Software Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    We are on a mission to accelerate data intelligence and drive growth through advanced analytics and AI. As anMLOps Engineer, you'll play a pivotal role in designing and managing scalable MLOps frameworks, empowering data scientists, and ensuring the seamless deployment of machine learning models across global initiatives.ResponsibilitiesDevelop and manage a...

  • MLOps Engineer

    4 weeks ago


    Bengaluru, Karnataka, India Infometry Full time

    Location : 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

    1 day ago


    Bengaluru, Karnataka, India Tekskills Inc. Full time ₹ 20,00,000 - ₹ 25,00,000 per year

    Skill Required: Digital:Machine LearningExperience Range in Required Skills: 6-8 Years.ML Frameworks, building CI/CD pipeline for ML models, Docker, Kubernetes, Jenkins, Terraform, ELK StackJob Description:ML Ops Engineer- 6+ years of experience in software engineering, DevOps, or MLOps roles (minimum 3+ years of experience in MLOps).Proficiency in ML...

  • MLOps Engineer

    5 days ago


    Bengaluru, Karnataka, India Connect2Talent Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    Job Title : MLOps EngineerLocation : Bangalore / GurgaonExperience : 4 to 8 yearsEmployment Type : Full-timeNotice Period : 15 daysAbout the Role : We are seeking an experienced MLOps Engineer who can bridge the gap between Machine Learning and DevOps. You will be responsible for designing, building, and maintaining scalable pipelines to deploy,...

  • MLOps Engineer

    2 days ago


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

    Aziro Technologies (formerly MSys Technologies) is an AI-native product engineering company driving innovation-led tech transformation globally We are hiring MLOps Engineers to join us immediatelyExp - 5+ yearsLocation - Bangalore (Hybrid Offer)Notice Period - Immediate to 15 daysJob DescriptionAbout the RoleWe are seeking a highly motivated Developer with...

  • MLops engineer

    1 day ago


    Bengaluru, Karnataka, India Capgemini Engineering Full time ₹ 13,62,000 - ₹ 35,53,792 per year

    Please share below details and updated CV, interviews will be as per below slots.DateTimeOctober 3, 202510am-12pmInterview duration : 45 minutes. ONLY early Oct and Nov joiners will be preferred.Current CTC:Expected CTC:Notice period:Current and preferred location:Total and relevant exp:Current payroll company:Relevant exp in MLops only:Interview will be...

  • MLOps Engineer

    2 weeks 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...