Jr. Data Scientist

Experience: 4-7 Years

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

o CDK- Typescript, CloudFormation, Terraform (IaC)

o IAM (Roles Rights)

o AWS Lambda o Data handling with RDS, Document DB, S3

o AWS Networking VPC, Subnets o Cloud Security o EKS/Kubernetes o CloudWatch o CloudTrail o Cluster setup/maintenance o Security management o Architecture support o Athena, etc.

Awareness of Server and Server-less Architecture

Microservices A masterful understanding of the challenges and requirements of running machine learning solution or application in a live, 24/7 production workplace, including monitoring, alerting, and incident response.

📌 Jr. Data Scientist (Pune)
🏢 VOLKSWAGEN GROUP DIGITAL SOLUTIONS PRIVATE
📍 Pune