▷ 3 Days Left: Machine Learning Engineer

4 days ago


Vadodara Gujarat, India Hexpress Healthcare Softech Private Limited Full time

We are seeking a highly motivated and experienced Machine Learning Engineer to join our team You will be responsible for transforming Data Science prototypes into production-ready applications building scalable MLOps pipelines and maintaining deployed models This role requires a strong background in software engineering cloud infrastructure and practical experience with the full ML lifecycle Key Responsibilities Production Deployment Scaling Refactor and optimise Data Science prototypes for performance and efficiency Containerise models using Docker and deploy them onto a scalable infrastructure such as Kubernetes Design and build low-latency APIs to serve model predictions in real-time MLOps Pipeline Automation Implement CI CD CT pipelines to automate model training testing and deployment processes Utilise orchestration tools like Airflow or Kubeflow to manage and schedule complex ML workflows Advanced AI Focus Work with specialised models e g LLMs on tasks such as fine-tuning and prompt engineering Contribute to ensuring the ethical and compliant use of AI systems particularly in relation to data privacy and bias System Monitoring Maintenance Set up robust monitoring for model performance data drift and infrastructure health in production Develop and manage automated processes for model retraining versioning and rollbacks Software Engineering Collaboration Write high-quality clean modular Python code following professional software engineering standards Collaborate closely with Data Scientists and Data Engineers to ensure seamless data flow and feature availability for model Requirements B E B Tech M E M Tech MCA M Sc IT or related field 2-4 years of professional experience in ML Engineering Software Engineering with ML focus or related role Proven experience deploying and managing ML models in a production environment High proficiency in Python and experience writing production-grade object-oriented code Practical experience with popular ML DL libraries like TensorFlow PyTorch or Scikit-learn Strong knowledge of SQL and experience with big data technologies Spark PySpark Hadoop for data manipulation and feature extraction Experience with essential MLOps tools including Docker containerisation and orchestration tools like Airflow or Kubeflow Hands-on experience with at least one major cloud platform AWS Azure or GCP for deploying ML services Familiarity with version control best practices e g Git Strong analytical and problem-solving skills Excellent communication and interpersonal skills Nice to Have Skills Experience with Kubernetes for model serving and scaling Familiarity with other languages like Java or C for performance optimisation Knowledge of specific ML domains e g NLP Recommender Systems Experience with Agile methodologies Benefits Service recognition awards Market-leading salary packages Maternity Paternity Benefits Medical Insurance Benefits



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