AI/ML Engineer- MLOps & Integration (Noida)

(JD) Overview We are seeking an AI/ML Engineer with robust expertise in Python-based machine learning and the ability to integrate solutions with Java-based systems. The role also requires exposure to MLOps practices for deploying and maintaining scalable ML pipelines. Key Responsibilities - Develop and implement AI/ML models using Python - Integrate ML solutions into Java-based backend systems - Design and maintain data pipelines and model workflows - Collaborate with backend teams to ensure seamless system integration - Implement and manage MLOps practices for model deployment and monitoring - Optimize model performance and ensure scalability in production environments Required Skills Primary Skills - Python for AI/ML - Libraries: NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch - Model development, training, and evaluation - Java Integration - Ability to integrate ML models into Java applications - Understanding of APIs, microservices, and backend systems Secondary Skills - MLOps - Model deployment (Flask/FastAPI) - CI/CD pipelines - Model monitoring and versioning - Tools like MLflow, Docker, Kubernetes (preferred) Preferred Qualifications - Experience with REST API development - Familiarity with cloud platforms (AWS/GCP/Azure) - Understanding of data engineering workflows - Exposure to real-time or batch processing systems .