MLOPS and Full Stack Developer

Job Description

Relevant Experience 2 to 5 Years

Responsibilities:

Full stack development with React / Angular
Design and implement cloud solutions, build MLOps on cloud (preferably AWS , Azure)
Work with workflow orchestration tools like Kubeflow, Airflow, Argo or similar tools
Communicate with a team of data scientists, data engineers and architect, document the processes.
Data science models testing, validation and versioning
Project management with Git / Jira toolsMandatory Skills:
Rich hands-on experience of 3+ years experience in full stack development and MLOps (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, automated pipelines)
Strong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain.
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 AWS / Azure cloud services.
Exposure to API design, deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
MCA OR B.E / M.Tech in Computer Science and related streams.
Qualifications

B.E/B.Tech

Additional information

Relevant Experience - 2 to 5 Years