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 skilled 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.

📌 INTERN (Kolkata)
🏢 Workmates Core2Cloud Solution
📍 Kolkata