24 Job openings found

Role Overview As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and maintaining the infrastructure and workflows that support our machine learning systems. You’ll work closely with data scientists, ML engineers, and DevOps teams to implement scalable MLOps solutions, mentor team members, and ensure smooth deployment and ...

  Experience Range: 5 to 12 yrs (min 4 years relevant) Responsibilities: Enable Model tracking, model experimentation, Model automation Develop ML pipelines to support  Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS. Work ...

hello,  Greetings from MM Management!!   I am Krishna from MM Management. MM Management is into Global Recruitment Services providing manpower across the Globe. About company- Company is an adept and reliable technology solutions provider focusing on Enterprise Digital Transformation for Software and Service Innovations and Business Process Management applications. Since our inception in 2000, ...

  Please find the details below   Position : Data Scientist Location : Work from home Experience requirement : 3+ Years Joining Date : Immediate to 30 days      Job Description We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will play a critical role in analysing complex data sets, developing cutting-edge ...

Key Responsibilities Develop and optimize computer vision models for object detection, segmentation, classification, tracking, OCR, etc. Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment. Implement advanced image processing techniques for feature extraction and image enhancement. Design and train models using CNNs, RNNs, Transformers, Vision Transformers (ViT), GANs, and diffusion ...

Key Responsibilities  Model Development & Training  ○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).  ○ Implement data preprocessing pipelines, feature extraction, and  augmentation techniques.  ○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization  ○ Run model evaluations, benchmark against baselines, and perform ablation studies.  ○ ...

Hi All,   We are Hiring for AI/ML Engine AI/ML Engineer responsible for building core ML infrastructure that powers adaptive learning for 100K+ students  Develop recommendation engines, predictive analytics, computer vision, and NLP systems using Python, TensorFlow, and PyTorch.   Task:   Design and train ML models for student behavior prediction and content recommendation Build recommendation systems, personalizing study ...

Role Overview:We are seeking a passionate and hands-on Gen AI Lead who is deeply experienced in the latestdevelopments in Generative AI (including LLMs, RAG, LoRA, QLoRA, etc.), with a strong foundationin Computer Vision, Image Processing, and Video Analytics. This individual will play a pivotal role indesigning, architecting, and deploying full-stack ...

Designation: Machine Learning Engineer Years of Experience : 8 to 14 Years Location - Remote Role Summary: We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong ...

Job Description We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities :As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across ...