Machine Learning Engineer - Deep Learning & Python in भारत

Machine Learning Engineer - Deep Learning & Python (MSc / PhD)Location : Global - Fully RemoteEmployment Type : Contract / FreelanceTotal Experience : 5 - 21 yearsKey Responsibilities : - Develop, implement, and validate machine learning and deep learning models.- Design, build, and optimize machine learning training and inference pipelines.- Implement model components, algorithms, data pipelines, and evaluation systems.- Develop reproducible machine learning workflows using Python and command-line tools.- Work on numerical computing, computational methods, and engineering optimization.- Optimize model performance, memory utilization, computational efficiency, and inference throughput.- Debug complex programming, numerical, and system-level issues.- Implement and modify machine learning solutions to meet specific technical requirements.- Review, test, and validate machine learning implementations for correctness and performance.- Create, solve, assess, and review challenging machine learning engineering tasks.- Effectively incorporate coding agents and AI-assisted development tools into the Python development workflow.- Maintain clear technical documentation and ensure the quality and reliability of completed https://jobeax.com/link/2K3t7TYh20beOUyH Qualifications : - Master's degree (MSc) or PhD.- Strong professional, research, or academic experience in Machine Learning.- Advanced practical proficiency in Python programming.- Hands-on experience with machine learning and deep learning model development.- Practical understanding of model training, inference, and evaluation workflows.- Experience using coding agents or AI-assisted coding tools as part of the development workflow.- Ability to solve complex technical, mathematical, and computational problems.- Experience developing reproducible Python-based engineering workflows.- Strong analytical, problem-solving, and technical communication https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications : - Experience working at an established technology company, AI laboratory, research organization, or recognized engineering environment.- Strong academic or research background in Machine Learning, Deep Learning, or Artificial Intelligence.- Experience developing and optimizing machine learning models and large-scale computational systems.- Familiarity with numerical methods, performance benchmarking, and inference optimization.- Experience with model evaluation, debugging, and computational efficiency improvements.- Contributions to recognized open-source projects or impactful academic research.- Ability to independently solve challenging machine learning implementation and engineering problems. (ref:hirist.tech)