AI/ML Platform Engineering (Intern / Experienced)

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 ‍