AI / ML Engineer - Data Modeling

Role : ML / AI Engineer

We are seeking a highly skilled Machine Learning / AI Engineer with strong technical expertise in building, deploying, and scaling ML and deep learning solutions. The ideal candidate should have 4+ years of hands-on experience working with advanced AI models, modern ML frameworks, and cloud-native environments. This role requires strong problem-solving skills, end-to-end model lifecycle ownership, and the ability to translate business requirements into cutting-edge AI-driven solutions.

Key Responsibilities Development & Training :

• Design, develop, and optimize machine learning and deep learning models for supervised, unsupervised, and reinforcement learning use cases.
• Build and fine-tune neural network architectures (CNNs, RNNs, LSTMs, Transformers, GANs) based on use case requirements.
• Implement feature engineering, data preprocessing pipelines, and advanced techniques such as embeddings, transfer learning, and dimensionality reduction.

Model Deployment & MLOps :

Data Engineering & Management :

Generative AI & NLP (Preferred) :

Performance Optimization & Research :

Collaboration & Documentation :

Required Skills & Experience :

scikit-learn, Keras, Hugging Face Transformers.

Preferred Qualifications :

(ref : hirist.tech)