AI/ML Platform Engineering (Intern / Experienced)

Actively Reviewing

Cognivance Inc

Hyderabad Internship Posted 8 hours ago · Apply by Sep 14, 2026

Job Description

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