AI/ML Engineer

Job Description

IYKONS is looking for a passionate AI/ML Engineer to join our team and build intelligent, scalable machine learning solutions. You will work closely with data scientists and engineers to develop and deploy models into production.

Role Overview

As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning models while ensuring they are efficient, scalable, and production-ready.

Key Responsibilities

• Design and develop machine learning models for real-world applications
• Build and maintain end-to-end ML pipelines (data → training → deployment)
• Support MLOps practices including model training, testing, and deployment
• Optimize model performance (latency, accuracy, scalability)
• Work with datasets: preprocessing, feature engineering, and validation
• Collaborate with product and engineering teams to deliver AI-driven solutions
• Assist in monitoring model performance and handling model drift

Experience & Technical Requirements

• 2–4 years of experience in Software Engineering or Machine Learning
• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch or TensorFlow
• Hands-on experience in building and deploying ML models
• Understanding of REST APIs and integration of ML services
• Familiarity with Docker (basic level)
• Experience with cloud platforms (AWS / Azure / GCP – any one)
• Knowledge of data handling, feature engineering, and model evaluation
• Basic understanding of CI/CD pipelines

Nice-to-Have

• Experience with Kubernetes
• Familiarity with MLOps tools (MLflow, Airflow, etc.)
• Exposure to Large Language Models (LLMs) or RAG systems
• Knowledge of monitoring tools (Prometheus, Grafana)
• Understanding of data privacy and AI ethics

What We Expect

• Strong problem-solving mindset
• Willingness to learn and adapt to new AI technologies
• Good communication and teamwork skills

Join us and be part of building next-generation AI solutions