Build, train, and deploy advanced machine learning models, including regression, classification, clustering, and recommendation algorithms
Implement NLP, deep learning, and computer vision solutions as required to support customer-centric applications and predictive analytics.
Apply knowledge of large language models (LLMs) to develop conversational AI and recommendation systems for customer engagement.
Design end-to-end ML/AI pipelines that support continuous integration and deployment of ML models into production environments.
Collaborate with data engineering teams to design and optimize ETL/ELT pipelines for AI-specific data needs.
Perform predictive analytics to support business strategies, creating foresight-driven models that enhance customer experiences and drive revenue growth.
Partner with business stakeholders to identify areas where ML/AI can drive value.

5+ years of hands-on experience in machine learning, AI engineering, or data science
Extensive experience working with large datasets, building and fine-tuning ML models, and deploying on cloud platforms.
Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with NLP and large language models.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master’s or Ph.D. in Machine Learning, AI, or a similar field is strongly preferred for a senior role.
Proficiency in Python and ML libraries (e.g., scikit-learn, Keras, Hugging Face).
Strong experience in cloud-based ML services (e.g., AWS SageMaker, GCP AI Platform, Azure ML).

Machine Learning Engineer

Key skills