The MLOps Engineer will be responsible for designing, building, and maintaining end-to-end ML pipelines using technologies like Databricks, MLflow, and Azure Machine Learning. This role also involves implementing CI/CD pipelines and operationalizing solutions based on Large Language Models (LLMs).
About the role
About the Role
Nityo Infotech is looking for an experienced MLOps Engineer to join their team. This role focuses on designing, building, and maintaining end-to-end ML pipelines and operationalizing LLM-based solutions.
Educational Qualifications
B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
Advanced degree in Data Science, Machine Learning, or Artificial Intelligence is a plus.
Experience
3+ years of experience in IT, with at least 2+ years in MLOps and machine learning model deployment.
Hands-on experience with Databricks for scalable data processing, model training, and orchestration.
Experience working with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Hugging Face Transformers, or similar.
Core Responsibilities
Design, build, and maintain end-to-end ML pipelines using Databricks, MLflow, and Azure Machine Learning.
Implement CI/CD pipelines for ML models, ensuring reproducibility, version control, and automated deployment.
Operationalize LLM-based solutions, including prompt engineering, fine-tuning, and inference optimization.
Monitor and manage model performance, drift, and retraining workflows.
Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless integration and delivery.
Technical Skills
Proficiency in Python and scripting for automation and orchestration.
Strong understanding of MLOps tools: MLflow, DVC, Kubeflow, Airflow, or similar.
Experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with Azure DevOps, Git, and CI/CD pipelines for ML workflows.
Knowledge of data governance, model monitoring, and compliance best practices.
MLOps Engineer - Bengaluru | OpenTalent
Skills
PythonMlopsFast API FrameworkDatabricksMlflowAzure Machine LearningOpenaiAzure OpenaiHugging Face TransformersCI/CDDVCKubeflowAirflowDockerKubernetesAzure DevopsGit