Logo for PradeepIT Consulting Services Pvt Ltd

Sr. MLOps Engineer

Roles & Responsibilities

  • Total 4-7 years of experience in MLOps and data engineering
  • Rich hands-on experience of 3+ years in Python (object-oriented) development
  • Minimum 3 years of MLOps experience including model versioning, data lineage, monitoring, hosting/deployment, scalability, orchestration, continuous learning, and automated pipelines
  • Experience with MLOps frameworks Kubeflow, MLflow, Airflow; pipelines for building, deploying, and managing ML workflows on Docker containers and Kubernetes

Requirements:

  • Review data science models, refactor and optimize code, containerize, deploy, version, and monitor model quality
  • Design and implement cloud solutions; build MLOps on Azure
  • Work with workflow orchestration tools like Kubeflow, Airflow, Argo or similar
  • Test data science models, validate and automate tests; document processes and coordinate with data scientists, data engineers and architects

Job description

-------------------------------------------------------------------------------------------

| Skills | Year of experience | Remarks | Weightage |

-------------------------------------------------------------------------------------------

| MLOps & Python | 3+ | Mandatory | 60% |

| Cloud | 3+ | Mandatory | 20% |

| Machine Learning | 2+ | Good to have | 10% |

| DevOps |  | Good to have | 10% |

------------------------------------------------------------------------------------------


Job Description

Total Exp in years - 4 7

Responsibilities:

  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
  • Design and implement cloud solutions, build MLOps on cloud (preferably Azure)
  • Work with workflow orchestration tools like Kubeflow, Airflow, Argo or similar tools
  • Data science models testing, validation and tests automation.
  • Communicate with a team of data scientists, data engineers and architect, document the processes.

Mandatory Skills:

  • 4 7 years of experience in MLOps and Data engineering
  • Rich hands-on experience of 3+ years in writing object-oriented code using python
  • Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, Automated pipelines)
  • Understanding of Data Structures, Data Systems and software architecture
  • Experience in using MLOps frameworks like Kubeflow, MLFlow, Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
  • Experience with Azure cloud services, Cosmos DB, Streaming Analytics, IoT messaging capacity, Azure functions, Azure compute environments, etc.
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
  • Strong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain, with proven experience of Terraform/Spark

Field Engineer (Solutions) Related jobs

Other jobs at PradeepIT Consulting Services Pvt Ltd

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.