AI/ML Engineer

Key Responsibilities Design, develop, and deploy machine learning models for business applications Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) Build and optimize supervised and unsupervised learning models Develop scalable ML pipelines and integrate them into production systems Evaluate model performance and fine-tune using appropriate metrics Work with large datasets using Python-based frameworks Collaborate with data engineers, product teams, and stakeholders to deliver AI solutions Document models, experiments, and ensure reproducibility Stay updated on new ML techniques and AI advancements What we are looking for: Technical Skills – Mandatory Strong programming skills in Python Hands-on experience with ML libraries: Scikit-learn, TensorFlow, PyTorch Knowledge of data handling libraries: Pandas, NumPy Understanding of ML algorithms: Regression, Classification Clustering Decision Trees, Random Forest, Gradient Boosting Experience in data preprocessing & feature engineering Knowledge of model evaluation techniques (precision, recall, F1, ROC-AUC, etc.) Experience with SQL / database querying Basic understanding of model deployment concepts (APIs, Flask/FastAPI) Technical Skills – Preferred Exposure to Deep Learning / NLP / Computer Vision use cases Experience with cloud platforms (AWS / Azure / GCP) Familiarity with MLOps tools (Docker, CI/CD pipelines, MLflow, Kubeflow) Knowledge of big data frameworks (Spark) Experience in REST API integrations Minimum Qualification: 15 years of full-time education