Senior Machine Learning / AI Engineer

About the job

Job Summary We are seeking an experienced Senior Machine Learning / AI Engineer to design, develop, and deploy scalable machine learning and AI solutions. This role involves working with large datasets, advanced ML models (including deep learning and LLMs), and cloud-based platforms to deliver high-impact, production-ready AI systems aligned with business objectives. Minimum Qualifications / Experience (Required) Education Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master’s degree or Ph.D. in Machine Learning, Artificial Intelligence, or a similar field is strongly preferred for senior-level roles. Experience 5+ years of hands-on experience in machine learning, AI engineering, or data science, with proven success deploying ML models into production. Extensive experience working with large-scale datasets, including data preprocessing, feature engineering, model training, and evaluation. Strong experience deploying ML solutions on cloud platforms. Demonstrated expertise in deep learning frameworks such as TensorFlow and PyTorch. Practical experience with NLP, large language models (LLMs), or related AI technologies. Preferred Technical Skills Proficiency in Python and popular ML libraries such as scikit-learn, Keras, Hugging Face. Hands-on experience with cloud-based ML services, including: - AWS SageMaker - Google Cloud AI Platform - Azure Machine Learning Strong knowledge of MLOps tools and practices, including: - MLflow, Airflow - Docker, Kubernetes - CI/CD pipelines for ML workflows

Requirements

• Machine Learning
• AI Engineering
• Python
• TensorFlow
• PyTorch
• NLP
• MLOps

Qualifications

• Bachelor’s degree in Computer Science
• Master’s degree or Ph.D. in relevant field

Preferred Technologies

• Machine Learning
• AI Engineering
• Python
• TensorFlow
• PyTorch
• NLP
• MLOps

About the company

LTIMindtree is a Fortune 500 technology company known for delivering high-impact, production-ready AI systems aligned with business objectives.