AI Engineer Job
Pune, IN
Yash Technologies
YASH Technologies is a leading Digital Solution Company for Business IT Solutions. YASH is a Right Sized Technology Partner of Choice.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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure CI/CD Docker Engineering GCP Generative AI Kubernetes Linux LLMOps Machine Learning ML models MLOps Model deployment Pipelines Python SageMaker SQL
Perks/benefits: Flex hours Transparency
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