ML Ops (India)

ML Ops (India)

09 Sep
|
Clifyx
|
India

09 Sep

Clifyx

India

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 - 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

Valuable 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

📌 ML Ops (India)
🏢 Clifyx
📍 India

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