AI Engineer Job

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AI Engineer Job

Date: Mar 17, 2025

Job Requisition Id: 60574

Location:

Pune, IN Bangalore, KA, IN IN Hyderabad, TG, IN Indore, IN Pune, MH, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire AI/ML Professionals in the following areas :

Job Description:

AI Engineer

Experience required: 4+ years.

Responsibilities

• Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability.
• Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions.
• Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP).
• Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption.
• Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows.
• Continuously assess and improve ML system performance, ensuring high availability and minimal downtime.
• Stay ahead of AI and cloud trends, 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 (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services.
• Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker.
• Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring.
• Proficiency in Linux environments and cloud infrastructure management.
• Experience operationalizing GenAI applications or AI assistants is a plus.
• Strong problem-solving, organizational, and communication skills.
  
  

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture
  
  

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