Description

You will develop, deploy, and maintain machine learning and AI solutions.

This role is on-site.

Responsibilities

• Design, develop, and deploy ML/AI models, including NLP, computer vision, recommendation systems, and LLMs.
• Build end-to-end AI pipelines covering data ingestion, training, evaluation, and production deployment.
• Optimize models for performance, scalability, and reliability by integrating them into backend systems and APIs.
• Monitor model performance and manage retraining cycles as required.
• Translate business needs into technical solutions by collaborating with cross-functional teams.

Required Skills

• 5+ years of professional experience in AI/ML engineering.
• Strong programming proficiency in Python.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data processing and analysis using Pandas, NumPy, and SQL.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Solid understanding of ML algorithms, statistics, and data structures.
• Familiarity with at least one additional language: Java, Go, or C++.

Preferred Skills

• Experience working with Large Language Models (LLMs) and prompt engineering.
• Knowledge of MLOps tools such as MLflow, Kubeflow, Airflow, or CI/CD.

Key Skills

Education

Bachelor's or Master's degrees