About Cognivance
Cognivance is a next-generation Digital Transformation and AI-driven software products company, focused on building secure, scalable, and intelligent platforms for modern enterprises. Founded with a strong engineering-first mindset, Cognivance works at the intersection of cloud, DevOps, AI/ML, cybersecurity, and product innovation.
We offer a hands-on, real-world engineering environment where interns work directly with senior leaders, architects, and product teams. Our internship programs are designed as long-term talent pipelines, with opportunities to convert to full-time roles based on performance.
Work Locations: Skillman, NJ, USA | Hyderabad, India
Work Model: Hybrid – 3 days onsite per week
Job ID: COG-AME-261
Role Overview:
We are seeking AI/ML Platform Engineering (Intern / Experienced) to help build and scale intelligent platforms and data-driven systems.
Key Responsibilities
• Assist in designing and developing Machine Learning pipelines and AI-enabled services
• Work on data processing workflows including data preparation, feature engineering, and model training
• Support deployment of Machine Learning models into scalable cloud environments
• Integrate AI models into enterprise applications and platform services
• Contribute to MLOps processes including CI/CD automation, model versioning, and monitoring
• Collaborate with platform engineers, data engineers, and product teams to deliver production-ready solutions
• Improve performance, scalability, and reliability of AI systems
• Document technical designs, workflows, and implementation approaches
Requirements
• Background in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (Intern or Experienced – minimum 2 years experience)
• Strong programming skills in Python with ability to write clean, efficient, and maintainable code
• Understanding of Machine Learning concepts and hands-on exposure to frameworks such as TensorFlow, PyTorch, or scikit-learn
• Familiarity with data processing, model training, evaluation, and deployment workflows
• Basic understanding of MLOps concepts including CI/CD pipelines and model lifecycle
• Interest or experience in building AI-enabled applications and intelligent systems
• Strong analytical thinking and problem-solving skills
• Ability to work collaboratively in engineering and product teams
Good to Have
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Knowledge of Docker, Kubernetes, or containerization technologies
• Understanding of APIs, microservices architecture, or distributed systems
• Familiarity with Git-based development workflows
• Exposure to data pipelines and ETL processes
• Understanding of model monitoring, logging, and performance optimization
• Experience working in Agile or product-focused development environments
Why Join Cognivance
• Work on real-world AI platforms and production systems
• Gain hands-on experience with MLOps and scalable AI architecture
• Mentorship from experienced engineers and technical leaders
• Opportunity to convert internship into full-time role
• Exposure to enterprise-level software development practices
• Fast-growth environment focused on innovation and product engineering
