INTERN

Workmates Core2Cloud; Kolkata District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Workmates Core2Cloud is seeking an AWS, Python, and AI/ML Engineer to design, develop, and deploy scalable cloud-based solutions on AWS. You will build and deploy ML models, optimize pipelines, and collaborate across data science and software teams.

Ideal candidates have strong Python and AWS IaC experience, plus knowledge of ML frameworks like TensorFlow or PyTorch. Location is Kolkata with on-site work expectations.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience with Python and object-oriented programming principles.
• Hands-on experience with AWS cloud services and infrastructure as code (IaC).
• Strong understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, and model evaluation.
• Experience deploying ML models using AWS SageMaker or similar platforms.
• Familiarity with data pipelines, ETL processes, and working with large datasets.
• Knowledge of version control (e.g., Git) and CI/CD practices.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Kolkata

Responsibilities

• Design, develop, and maintain scalable applications using Python within AWS environments.
• Build, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Optimize AI/ML pipelines for performance, accuracy, and efficiency in production.
• Utilize AWS services including EC2, S3, Lambda, SageMaker, and CloudFormation for infrastructure and model deployment.
• Implement data ingestion, preprocessing, and feature engineering workflows for ML applications.
• Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into existing systems.
• Monitor, troubleshoot, and improve model performance and system reliability in production.
• Document architecture, code, and deployment processes to ensure maintainability and knowledge sharing.

Skills

Python

AWS

AI/ML

TensorFlow

PyTorch

Scikit-learn

SageMaker

Git

CI/CD

ETL

Data pipelines

Education

Bachelor’s or Master’s degree in Computer Science/Engineering/Data Science

Tools

EC2

S3

Lambda

CloudFormation

SageMaker

CloudFormation

Git

CI/CD tools

Job description

Job Description We are seeking a highly skilled and motivated AWS, Python, and AI/ML Engineer to join our innovative technology team. In this role, you will design, develop, and deploy scalable cloud-based solutions leveraging AWS infrastructure, Python programming, and cutting- edge artificial intelligence and machine learning techniques. Your work will directly impact the performance, reliability, and intelligence of our core platforms, enabling data-driven decision-making and automation across the organization. This position is ideal for a technically adept professional who thrives in a fast-paced, collaborative environment and is passionate about building intelligent systems that solve real-world problems.

Responsibilities

• Design, develop, and maintain scalable applications using Python within AWS environments.
• Build, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Optimize AI/ML pipelines for performance, accuracy, and efficiency in production.
• Utilize AWS services including EC2, S3, Lambda, SageMaker, and CloudFormation for infrastructure and model deployment.
• Implement data ingestion, preprocessing, and feature engineering workflows for ML applications.
• Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into existing systems.
• Monitor, troubleshoot, and improve model performance and system reliability in production.
• Document architecture, code, and deployment processes to ensure maintainability and knowledge sharing.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience with Python and object-oriented programming principles.
• Hands-on experience with AWS cloud services and infrastructure as code (IaC).
• Strong understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, and model evaluation.
• Experience deploying ML models using AWS SageMaker or similar platforms.
• Familiarity with data pipelines, ETL processes, and working with large datasets.
• Knowledge of version control (e.g., Git) and CI/CD practices.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Kolkata