Urgent Hiring Cloud Devops Engineer-MLOPS - Delhi/NCR
Misahib Khan
Senior Manager- Strategic Executive Recruitment @ Basebiz || CHRS || Ex- HCL || Ex - Dish TV || IT & Non IT Recruiting || ?? || Let's Connect!
Position: Cloud Devops Engineer-MLOPS
Location: Delhi/NCR
Office Mode: WFO, 10AM-7PM, 5 days working
Notice: Not working, Serving Notice less than 30 days
Experience: 03-06yrs
Salary: 20-25LPA
Interview Rounds: L1- Technical, L2- Coding test, L3- Techno-Managerial
Vacancies: 02
Mandatory Skills:-
Mandatory- MLOPS, Machine Learning
Any Cloud- AWS or GCP or Azure
Any Devops- Jenkins/GIT/JIRA/CI/CD/Docker/ Kubernetes
?Job Description:-
1.????Establish and manage infrastructure on cloud platforms such as AWS and GCP tailored for machine learning workloads.
2.????Work alongside data scientists to seamlessly integrate machine learning components into applications and services
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3.????Develop comprehensive end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deployment.
4.????Create and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning models.
5.????FastAPI, Docker, AWS services (S3, EC2, Sagemaker, Lambda, AppRunner, ECR, ECS, Cloudwatch)
6.????Deploy machine learning models into production environments and manage their lifecycle, ensuring they remain efficient and effective.
7.????Set up monitoring solutions to track model performance, detect data drift, and capture other relevant metrics to ensure ongoing model accuracy and reliability.
8.????Work closely with data scientists to understand model requirements and contribute to model development and optimization efforts.
9.????Keep abreast of the latest advancements in MLOps tools and technologies, recommending and implementing improvements to enhance existing workflows.
10.??Incorporate cloud cost management strategies to optimize machine learning workloads, ensuring cost efficiency without compromising performance.
11.??Must have delivered one or more data science product(s) in production.
12.??Technically able to build and manage data and deployment pipelines.
13.??Proficiency with AWS services. Strong Problem Solving skill set
14.??Strong communication and interpersonal skills. Should have a fair understanding of ML algorithms
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Note: Please apply if you meet the criteria (Location, Salary, Notice, Experience etc).
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