Machine Learning Engineer in Bangalore, भारत

Role Overview :We are looking for an ML Engineer with strong experience in Machine Learning, LLMs/Generative AI and MLOps to design, develop, deploy and maintain production-grade AI/ML https://jobeax.com/link/5WM6jVJPxXxkaX5M role involves working with real-world industrial and IoT data and building intelligent solutions that can transform large volumes of sensor, equipment, energy and operational data into meaningful https://jobeax.com/link/kGmMdaDj8M0XdZU9 will work closely with Data Science, Engineering and Product teams to take ML/GenAI solutions from experimentation to https://jobeax.com/link/rH0yu1ler9U2ioyx Responsibilities :- Design, develop and productionise Machine Learning models for real-world business and industrial use cases.- Build and deploy LLM/GenAI-based applications for intelligent insights, knowledge retrieval, summarisation and recommendation systems.- Develop solutions using RAG, embeddings, vector databases, prompt engineering and LLM APIs.- Build ML pipelines covering data preparation, feature engineering, model training, evaluation and deployment.- Implement and maintain MLOps workflows for model versioning, deployment, monitoring and continuous improvement.- Develop scalable AI services and APIs using Python and relevant ML frameworks.- Work with large-scale time-series, sensor, energy and equipment data.- Build solutions for anomaly detection, predictive maintenance, forecasting and asset performance optimisation.- Monitor model performance, data drift and model/data quality in production.- Collaborate with engineering teams to integrate ML models into production applications and platforms.- Ensure AI/ML solutions are scalable, reliable, observable and production-ready.- Evaluate emerging GenAI/LLM technologies and identify opportunities to apply them to business and industrial use https://jobeax.com/link/5ULIIZT7CBMuYcGX Skills :- 4 to 7 years of experience in Machine Learning / AI Engineering.- Strong programming skills in Python.- Strong understanding of Machine Learning concepts, algorithms and model development.- Hands-on experience with LLMs / Generative AI.- Experience with RAG, embeddings, vector databases, prompt engineering and LLM APIs.- Experience with frameworks such as PyTorch, TensorFlow or scikit-learn.- Good understanding of MLOps and ML model lifecycle management.- Experience with Docker and cloud platforms such as AWS / Azure / GCP.- Experience building REST APIs using FastAPI / Flask is preferred.- Understanding of CI/CD, model deployment, monitoring and observability.- Experience working with structured and unstructured data.Value-Added Skills :Candidates with exposure to any of the following will have an added advantage :- Industrial IoT (IIoT) / IoT- Sensor data and time-series analytics- Energy management / energy analytics- Manufacturing / industrial automation- Smart buildings / Building Management Systems (BMS)- Equipment monitoring and predictive maintenance (ref:hirist.tech)