AI/ML Developer

AI/ML DeveloperAI/ML role focus on designing, building, and deploying intelligent systems that learn from data to solve complex problems. Machine Learning Engineers sit between data science and software engineering, writing scalable code to deploy, optimize, and maintain ML models in production. MLOps Engineers manage the underlying infrastructure, building continuous integration and deployment (CI/CD) pipelines to automate model monitoring, data versioning, and system scaling.Essential Skills:Prompt emgineering, Forward-Deployed Engineer, Python, R, C++Mathematics: Linear algebra, calculus, statisticsData Handling: SQL, data preprocessing.Frameworks: TensorFlow, PyTorch, Scikit-Learn.MLOps tools (Docker, Kubernetes, MLflow)Data pipeline development (Spark, SQL, Airflow)System design and architecture.Cloud computing platforms (AWS, GCP, Azure)Cross-functional communication and storytelling.Experience Required: 8-10Company Benefits & Culture:Opportunity to work with a dynamic team in a fast-paced environment. Exposure to cutting-edge technologies and methodologies. Supportive and collaborative work culture.