Crest Infosystems - Machine Learning Engineer

Job Description

We are looking for a skilled Machine Learning Engineer or AI Model Developer with at least 5 years of hands-on experience in building, training, and deploying custom AI models.

The ideal candidate will have practical experience in developing and fine-tuning machine learning models rather than integrating pre-built models via APIs.

Natural Abilities
• Smart, self-motivated, responsible, and out of the box thinker.
• Detailed oriented and powerful analyzer.
• Great writing communication skills.

Requirements
• 5+ years of hands-on experience in building custom machine learning models (not just using APIs or pre-built models).
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
• Strong programming skills in Python, with experience in libraries such as NumPy, pandas, scikit-learn, and others.
• Experience in training and fine-tuning machine learning models using real datasets.
• Knowledge of machine learning algorithms, model evaluation, and feature engineering.
• Hands-on experience with data preprocessing, model optimization, and hyperparameter tuning.
• Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is a plus.

Responsibilities
• Design, develop, and implement custom machine learning models tailored to specific business problems.
• Train, optimize, and validate machine learning models using real-world datasets and advanced techniques.
• Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions.
• Build and maintain end-to-end machine learning pipelines from data preprocessing to model deployment.
• Continuously improve the performance, scalability, and reliability of AI models in production environments.
• Perform model evaluations and select the best-performing models for real-world applications.
• Ensure proper documentation of model development processes and results.
• Stay current with industry trends, algorithms, and new technologies related to machine learning and AI.