Build and deploy machine learning models to solve business problems and improve operational efficiency. Perform data extraction, cleansing, transformation and feature engineering using Python and SQL. Conduct predictive modeling and statistical analysis on structured and unstructured datasets. Develop AI/ML solutions using TensorFlow, PyTorch and Scikit-learn. Implement NLP and Generative AI solutions leveraging LLMs and prompt engineering. Manage end-to-end ML lifecycle including deployment, monitoring and maintenance using cloud and MLOps tools.
Build and deploy machine learning models that solve business problems and improve operational efficiency. Perform data extraction, cleansing, transformation, feature engineering, and predictive modeling using structured and unstructured datasets. Develop AI/ML solutions using Scikit-learn, TensorFlow, and PyTorch while implementing NLP and Generative AI applications leveraging LLMs and prompt engineering. Create dashboards in Power BI/Tableau, automate workflows, manage end-to-end ML lifecycle, collaborate with business stakeholders, and utilize AWS/Azure/GCP cloud platforms with MLOps practices for scalable deployments.
Infosys is looking for a skilled Python Software Developer to build scalable backend systems, develop high-performance APIs, and optimize enterprise application workflows using Python technologies. The role includes designing server-side architectures, integrating frontend systems with backend services, developing reusable code modules, troubleshooting production issues, and implementing secure database-driven applications. Developers will collaborate with cross-functional teams to enhance application responsiveness, automate operational processes, improve data handling mechanisms, and support cloud-native application deployments across modern enterprise environments.
Leading Client is hiring for the role of Machine Learning Engineer. The selected candidate will work on enterprise AI and machine learning solutions including model training, deployment, optimization, API integrations, cloud-based workflows, and scalable analytics systems. Responsibilities include collaborating with engineering teams, building intelligent automation pipelines, implementing predictive models, handling data preprocessing, and deploying production-grade AI solutions. The role also involves working with modern AI frameworks, monitoring model performance, and contributing to innovation-focused projects.
YO IT Consulting is hiring for the role of Machine Learning Engineer. The selected candidate will work on enterprise AI and machine learning solutions including model training, deployment, optimization, API integrations, cloud-based workflows, and scalable analytics systems. Responsibilities include collaborating with engineering teams, building intelligent automation pipelines, implementing predictive models, handling data preprocessing, and deploying production-grade AI solutions. The role also involves working with modern AI frameworks, monitoring model performance, and contributing to innovation-focused projects.
Rika India is hiring for the role of Project Associate. The selected candidate will work on enterprise AI and machine learning solutions including model training, deployment, optimization, API integrations, cloud-based workflows, and scalable analytics systems. Responsibilities include collaborating with engineering teams, building intelligent automation pipelines, implementing predictive models, handling data preprocessing, and deploying production-grade AI solutions. The role also involves working with modern AI frameworks, monitoring model performance, and contributing to innovation-focused projects.
About the Open Position Women join us as DevOps Engineer at Dailoqa, where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time an.
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