Thiruvananthapuram, Kerala, India
Information Technology
Full-Time
Crest Infosystems Pvt. Ltd.
Overview
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
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.
- 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.
- 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.
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