Vacancy description
Intraedge Technologies Ltd.
Pune, भारत
Location : Remote / PuneJob Type : Full-TimeShift Timing : 2 : 00 PM - 11 : 00 PMJob Overview : We are seeking an experienced AI/ML Engineer to develop, deploy, and maintain production-ready machine learning and NLP solutions. The role involves integrating AI/ML models into data pipelines and microservices, building model-serving workflows, and enabling continuous model training and https://jobeax.com/link/SyE2ck5OrXavrFlx Responsibilities : - Develop, deploy, and maintain machine learning models and AI-powered services in production environments.- Build NLP pipelines to process structured and unstructured data, including healthcare claims and clinical documents.- Integrate ML models with data pipelines and backend services using REST APIs, GraphQL, or gRPC.- Develop data preprocessing, feature engineering, model inference, and evaluation workflows.- Implement model deployment and serving using Vertex AI Endpoints, TensorFlow Serving, or equivalent platforms.- Build and manage model training, retraining, and orchestration workflows using Vertex AI, Kubeflow, or similar tools.- Collaborate with Data Engineering, MLOps, and Platform teams to operationalize models.- Implement model monitoring, prediction logging, confidence-score tracking, and fallback mechanisms.- Optimize model performance, reliability, scalability, and inference latency.- Explore GenAI and LLM-based solutions, prompt workflows, and agent orchestration frameworks where https://jobeax.com/link/g3fodVl7LLxPdvXs Qualifications : - 4 - 6 years of experience in AI/ML engineering, machine learning development, or production ML systems.- Strong programming skills in Python.- Hands-on experience deploying and integrating AI/ML models into production applications.- Experience with NLP, text processing, or machine learning workflows.- Understanding of the end-to-end ML lifecycle, including data preparation, feature engineering, training, deployment, and inference.- Experience building or integrating REST APIs and working with backend services.- Familiarity with structured and unstructured datasets.- Experience with cloud platforms, preferably GCP.- Understanding of model monitoring, evaluation, versioning, and performance https://jobeax.com/link/WrPpyfU0ZsWMfPbm Qualifications : - Experience with Vertex AI, Kubeflow, TensorFlow Serving, or equivalent ML platforms.- Exposure to healthcare analytics, claims processing, or clinical NLP.- Familiarity with BigQuery, Kafka, and cloud-based data pipelines.- Experience with Docker, Kubernetes, and CI/CD workflows.- Knowledge of GenAI, LLMs, LangChain, Hugging Face Transformers, or agent orchestration frameworks.- Exposure to MLOps practices and automated model https://jobeax.com/link/xnC6kKDMrymFhRAj : - Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience (ref:hirist.tech)