AI Engineer

AI EngineerMust Have Technical/Functional SkillsStrong programming skills in Python (mandatory)Solid understanding of machine learning algorithms and statisticsHands on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)Experience working with structured and unstructured dataKnowledge of SQL and data processing libraries (Pandas, NumPy)Experience deploying models using APIs, Docker, and cloud platforms (AWS/Azure/GCP)Familiarity with Git, CI/CD pipelines, and software engineering best practicesPreferred Skills (Good to Have)Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, Hugging Face)Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)Experience with big data technologies (Spark, Databricks)Exposure to computer vision or NLP use casesRoles & ResponsibilitiesDesign, develop, and deploy machine learning and AI models for business applicationsBuild and optimize data pipelines for model training, validation, and inferenceImplement algorithms using Python and ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)Integrate AI models into applications using REST APIs, microservices, or cloud servicesPerform model evaluation, tuning, and performance optimizationMonitor models in production for accuracy, drift, and reliabilityCollaborate with product managers, data scientists, and engineers to translate requirements into AI solutionsImplement MLOps practices including versioning, CI/CD, and automated deploymentsEnsure adherence to Responsible AI, security, data privacy, and compliance standardsDocument models, pipelines, and deployment proceduresSalary Range- $100,000-$120,000 a year#LI-OJ1