15h Left! Python_ML Ops_Fast API Framework Engineer

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.
Desirable Skills:
• Exposure to LLM fine-tuning, embedding generation, and vector databases (e.g., FAISS, Weaviate, Pinecone).
• Experience with Databricks Unity Catalog, Delta Live Tables, and Feature Store.
• Understanding of data security, access control, and cost optimization in cloud environments.
Soft Skills:
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment and manage multiple priorities.