4 - 8 years

0 Lacs

Posted:16 hours ago| Platform: Shine logo

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Job Type

Full Time

Job Description

You will be joining YASH Technologies, a renowned technology integrator focused on assisting clients in reimagining operating models, enhancing competitiveness, optimizing costs, fostering exceptional stakeholder experiences, and driving business transformation. At YASH, you will be part of a team of talented individuals working with cutting-edge technologies to bring about real positive changes in today's increasingly virtual world, transcending generational gaps and future disruptions. We are currently seeking AI/ML Professionals for the following role: AI Engineer Experience Required: 4+ years As an AI Engineer at YASH, your responsibilities will include: - Designing, developing, and deploying end-to-end machine learning pipelines in cloud-native environments to ensure scalability and reliability. - Collaborating with data scientists to transition ML models from prototype to enterprise-ready solutions. - Optimizing cloud-based data architectures and ML systems for high performance and cost efficiency on platforms such as AWS, Azure, and GCP. - Integrating ML models into existing and new system architectures by designing robust APIs for seamless model consumption. - Implementing MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. - Continuously assessing and improving ML system performance to ensure high availability and minimal downtime. - Staying abreast of AI and cloud trends and collaborating with cloud architects to leverage cutting-edge technologies. Qualifications: - 4+ years of experience in cloud-native ML engineering, deploying, and maintaining AI models at scale. - Hands-on experience with AI cloud platforms such as Azure ML, Google AI Platform, and AWS SageMaker, along with cloud-native services. - Strong programming skills in Python and SQL, expertise in cloud-native tools like Kubernetes and Docker. - Experience in building automated ML pipelines, including data preprocessing, model deployment, and monitoring. - Proficiency in Linux environments and cloud infrastructure management. - Experience in operationalizing GenAI applications or AI assistants is a plus. - Strong problem-solving, organizational, and communication skills. At YASH, you will have the opportunity to build a career in an inclusive team environment that encourages continuous learning and growth. Our Hyperlearning workplace is grounded in flexibility, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, and all the support necessary for achieving business goals. Join us for stable employment in a great atmosphere with an ethical corporate culture.,

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