1288 Machine Learning Engineer jobs in Noida
Machine Learning Engineer
Posted 23 days ago
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Machine Learning Engineer
Posted 24 days ago
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Machine learning engineer
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Machine Learning EngineerWorld Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The responsibility will be developing algorithms and data models to match speakers with suitable events and recommend events to users' interests. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases.Responsibilities:Build and maintain ML algorithms for speaker-event matching and personalized event recommendations.Develop and optimize data pipelines and vector database integrations.Manage data collection processes to enhance model accuracy.Analyze business requirements and translate them into scalable ML solutions.Qualifications:Degree from a leading university in Data Science, Machine Learning, Computer Science, or a related field, or significant equivalent experience.Proficiency in Python and experience with machine learning frameworks (Tensor Flow, Py Torch, scikit-learn, etc.).Experience working with vector databases and implementing recommendation systems.Strong analytical capabilities combined with an understanding of business objectives.Ability to manage projects independently, from initial concept through implementation and evaluation.
Machine learning engineer
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Machine Learning Engineer (Remote)Company: Genista Biosciences (San Jose, CA – US-based Biotech Startup)Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We’re looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform.What You’ll Do:Design, train, and deploy scalable machine learning models for real-world biotech applicationsWork closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutionsOptimize model performance and ensure reliability in production environmentsImplement pipelines for data preprocessing, feature engineering, and model monitoringCollaborate with backend teams to integrate ML models into applications and APIsRequirements:2–5 years of experience as an ML Engineer or in a similar roleStrong proficiency in Python, ML frameworks (Tensor Flow, Py Torch, Scikit-learn)Experience deploying models at scale (cloud platforms: AWS/GCP/Azure)Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)Solid understanding of data structures, algorithms, and software engineering best practicesExperience with scientific/biotech/healthcare data is a plusPerks:100% remote Opportunity to apply ML in high-impact biotech solutionsStartup culture: autonomy, innovation, and ownership
Machine learning engineer
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Machine learning engineer
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Machine Learning Engineer
Posted today
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