Data Scientist

VOLKSWAGEN GROUP DIGITAL SOLUTIONS PRIVATE LIMITED; Pune District; Hybrid; INR 900.000 - 1.800.000; Vollzeit

Zusammenfassung

VOLKSWAGEN GROUP DIGITAL SOLUTIONS PRIVATE LIMITED is seeking an AI/ML Engineer in Pune, India to build predictive models, anomaly detection, and data-driven manufacturing solutions. The role emphasizes Python development, ML frameworks, cloud services (AWS), and containerized deployment.

The candidate should be proficient in Python, Bash, GPUs, and have experience with TensorFlow/PyTorch, MLFlow, Kubeflow, and RESTful APIs, along with strong Linux and CI/CD fundamentals.

Qualifikationen

• Strong skills in Python and bash.
• Containerization technologies e.g., Docker (or Singularity).
• Knowledge in model training frameworks like TensorFlow, PyTorch and scikit-learn from production perspective.
• Good understanding of basic ML concepts.
• Experience in leveraging GPUs.
• Familiarity with MLFlow and Kubeflow.
• Data Analysis with Python.
• Distributed systems and expose to their functionality through well-designed RESTful or gRPC APIs.
• Proficient in version controls especially Git.
• Strong Linux Fundamentals.
• Well versed with CI/CD concepts and implementations.
• Experience on AWS Services: SQS, SNS, RDS, EKS, S3, IAM, Lambda, RDS, VPC, CloudFormation, CodeBuild, etc.
• AWS Cloud knowledge.

Aufgaben

• Strong skills in Python and bash.
• Expertise in containerization technologies e.g., Docker (or Singularity).
• Knowledge in model training frameworks like TensorFlow, PyTorch and scikit-learn from production perspective.
• Good understanding of basic ML concepts.
• Experience in leveraging GPUs.
• Familiarity with MLFlow and Kubeflow.
• Data analysis with Python.
• Distributed systems and expose to their functionality through well-designed RESTful or gRPC APIs.
• Proficient in version controls especially Git.
• Strong Linux fundamentals.
• Well versed with CI/CD concepts and implementation.
• Experience on AWS services: SQS, SNS, RDS, EKS, S3, IAM, Lambda, RDS, VPC, CloudFormation, CodeBuild etc.

Kenntnisse

Python

ML model training

Regression models

Data analytics

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Singularity

MLFlow

Kubeflow

AWS SageMaker

AWS SDK

Jobbeschreibung

Job Description: Looking for an AI/ML Engineer with experience in machine learning, data analytics, and AWS cloud technologies. The candidate will be responsible for developing predictive models, anomaly detection solutions, and supporting data-driven manufacturing use cases.

Mandatory Skills:

• Python (library : PyTorch or TensorFlow)
• Machine Learning Model Development & Training
• Regression Models
• Data Analytics & Data Processing

Good to Have:

• AWS SageMaker
• AWS (S3, Kinesis, Lambda, Security Groups, Networking)
• AWS SDK

Roles & Responsibilities:

• Strong skills in Python and bash
• Expertise in Containerization technologies e.g., docker (or singularity)
• Knowledge in model training frameworks like TensorFlow, PyTorch and scikit-learn from production perspective.
• Good understanding of basic ML concepts.
• Experience in leveraging GPUs
• Familiarity with MLFlow and kubeflow
• Data Analysis with python
• Distributed systems and expose to their functionality through well-designed RESTful or gRPC APIs.
• Proficient in version controls especially Git
• Strong Linux Fundamentals
• Well versed with CI/CD Concept and implementation
• Experience on AWS Services: SQS, SNS, RDS, EKS, S3, IAM, Lambda, RDS, VPC, CloudFormation, CodeBuild etc.
• AWS Cloud knowledge: