AI/ML Platform Engineering (Intern / Experienced)

Cognivance Inc; Hyderabad; On-site; INR 201,000 - 335,000; Full time

Job summary

Cognivance Inc. is seeking an AI/ML Platform Engineer (Intern / Experienced) to help build scalable intelligent platforms and data-driven systems.

You will design ML pipelines, process data, train models, and deploy AI services in cloud environments, collaborating with engineers and product teams to deliver production-ready solutions. Ideal candidates have a CS/AI/ML/Data Science background with 2+ years' experience, strong Python, and familiarity with ML frameworks and MLOps concepts.

Qualifications

• Background in CS/AI/ML/Data Science or related field with 2+ years' experience.
• Strong Python programming skills and clean code.
• Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Familiar with data processing, model training, evaluation, deployment workflows.
• Knowledge of MLOps concepts including CI/CD pipelines and model lifecycle.
• Interest or experience in AI-enabled apps and intelligent systems.
• Strong analytical thinking and ability to work in cross-functional teams.

Responsibilities

• Assist in designing and developing ML pipelines and AI-enabled services.
• Work on data processing workflows including data prep, feature engineering, model training.
• Support deployment of ML models into scalable cloud environments.
• Integrate AI models into enterprise applications and platform services.
• Contribute to MLOps processes including CI/CD automation and monitoring.
• Collaborate with platform and data engineers to deliver production-ready solutions.
• Improve performance, scalability, and reliability of AI systems.
• Document technical designs and implementation approaches.

Skills

Analytical thinking

Problem solving

Collaborative work

Strong Python programming

Education

Bachelor's in CS/AI/ML/Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Python

CI/CD

Git workflows

Docker

Kubernetes

APIs/microservices

ETL/data pipelines

Model monitoring

Job description

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