ML Ops

ECMS Req #

541680

PU

DNACMT

Role

Technology Lead

Number of Openings

1

Duration of project

12

No of years' experience

5+ years of experience

Detailed job description - Skill Set:

ML Ops

Primary Skill Sets Needed:

• ML model lifecycle management: training, deployment, monitoring, retraining

• Proficiency in ML frameworks: TensorFlow, PyTorch, Scikit-learn

• AWS expertise: SageMaker, S3, EKS, Lambda

• CI/CD & containerization: Docker, Kubernetes, Terraform, Jenkins

• Strong SQL skills: Athena, Trino, Postgres

• Model serving & tracking: MLflow, SageMaker

• Data pipeline & orchestration: Kafka, Airflow

Good to Have Skills:

• On-prem big data experience: Trino, Hadoop, Hive

• Hybrid cloud/on-prem integration and automation focus

• Security best practices in ML workflows

Mandatory Skills

ML model lifecycle management

Vendor Billing range (local currency /Day)

9500 INR / Per Day

Work Location

Any Infosys Office location

Hybrid/remote/WFO

Hybrid (After Onboarding)

BGV Pre/Post onboarding

Post onboarding