Develop, train, evaluate, and deploy machine learning models and AI-powered applications. Responsibilities include data preprocessing, feature engineering, deep learning development, cloud-based model deployment, and collaboration with data engineers, MLOps teams, and business stakeholders. The role also requires applying strong analytical and research skills while staying current with advances in artificial intelligence.
This is a remote position.
We’re at the cutting edge of artificial intelligence, building intelligent solutions that transform data into actionable insights. By leveraging advanced machine learning algorithms, deep learning frameworks, and scalable architectures, we deliver AI-powered applications that drive innovation and business growth. To help us achieve this, we are seeking an experienced AI & ML Engineer. The ideal candidate will be highly skilled in developing, training, and deploying machine learning models, and will be committed to turning complex datasets into practical, real-world solutions.
Requirements
Strong experience in AI/ML model development and deployment using frameworks such as TensorFlow, PyTorch, or scikit-learn.
Proficiency in programming languages such as Python, R, or Java.
Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques.
Knowledge of deep learning architectures including CNNs, RNNs, Transformers, and large language models.
Experience with cloud platforms (AWS, Azure, GCP) for training and deploying ML models.
Ability to collaborate with data engineers, MLOps engineers, and business stakeholders to deliver AI solutions.
Strong problem-solving, analytical, and research skills, with a commitment to staying updated on AI advancements.
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