Jr. Data Scientist

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 environment, including monitoring, alerting, and incident response.