Machine Learning Engineer - Noida, UP, India

We are looking for a Machine Learning Engineer with 12 years of hands-on experience to help us build, deploy and improve ML models that solve real business problems. · 12 years of experience building ML models and/or deploying them in real projects (internships count if strong) · ...

We are looking for a Machine Learning Engineer to design, · build and deploy ML models that power intelligent agent systems · and enterprise AI solutions. ...

We're seeking a talented Machine Learning Engineer to join our innovative team. · Proven Experience: 4+ years of hands-on experience in machine learning and data science. · Technical Proficiency: Strong proficiency in Python, TensorFlow, PyTorch, or other relevant frameworks. · ...

We are seeking a skilled Machine Learning Engineer to join our team in Noida. The successful candidate will have experience in designing, implementing and optimizing ML models using TensorFlow, PyTorch and scikit-learn. · ...

+We're looking for a hands-on Machine Learning Engineer who has spent the last 2–3 years building, training, and deploying ML models in Python . This role is ideal for someone who enjoys working close to the data, cares about model performance in the real world, and can turn idea ...

We are looking for a Machine Learning Engineer to join our team in Noida. The ideal candidate will have experience with machine learning operations, cloud engineering, and related fields. · ...

Design and implement classic ML models for structured data use cases. · 3–5 years of experience in software or ML engineering. · ...

We are looking for Machine Learning Engineers to build and implement Masters India' platform based on the latest open source technologies.Masters India IT Solutions is part of the 45-year-old Masters India Group which has a diversified presence across Manufacturing Healthcare Hos ...

Productionize machine learning models for fashion and fit recommendations, ensuring low-latency inference and high scalability. · ...

We are looking for a Machine Learning Engineer to design,build,and deploy ML models that power intelligent agent systems and enterprise AI solutions. · ...

This is a Machine Learning Engineer position in Noida that involves designing and implementing machine learning models and algorithms to solve complex business problems. The role requires proficiency in Python as well as hands-on experience with TensorFlow, PyTorch, scikit-learn, ...

Design and implement classic ML models for structured data use cases and build deep learning pipelines using PyTorch/TensorFlow. · ...

Good English skills especially for writing and reading documentation · ...

Productionize machine learning models for fashion and fit recommendations, ensuring low-latency inference and high scalability. · Optimize model inference for real-time recommendations. · Containerize ML models using Docker/Kubernetes. · Maintain end-to-end MLOps pipelines includ ...

We are looking for an experienced Machine Learning Engineer to work on our recommendation engine. The ideal candidate will have expertise in MLOps practices and experience with scalable deployment architectures. · Optimize model inference for real-time recommendations. · Containe ...

Develop ML models using UT data and PAUT methods optimize model performance through conventional UT techniques analyze A SCAM B SCAM C SCAM and S CAM ultrasonic Data integrate Algorithms into inspection/analysis s/w · ...

About the Role · The role involves designing and implementing AI/ML solutions to address complex business challenges. · Design and implement AI/ML solutions for complex business problems across domains like Banking, Finance, Telecom, Retail, and Technology. · Develop and optimize ...

This role owns the · entire AI infrastructure lifecycle · — from · model selection and fine-tuning · to · production deployment and scaling. · You will ensure our voice video and multimodal AI models run reliably efficiently and cost-effectively on GPU infrastructure E2E Networks ...

The role involves designing and implementing AI/ML solutions to address complex business challenges. · ...

This role owns the entire AI infrastructure lifecycle — from model selection and fine-tuning to production deployment and scaling.You will ensure our voice, video, and multimodal AI models run reliably, efficiently, and cost-effectively on GPU infrastructure (E2E Networks, AWS or ...