GEN AI Lead

Generative AI Lead | 6–8 Years Experience We are looking for a seasoned Machine Learning Engineer who thrives at the intersection of data, engineering, and business impact. If you love turning messy real‑world problems into production‑grade AI solutions — this one’s for you. Work Schedule This is a contract role requiring 2 days onsite per week. Candidates must be able to commute to the office location. What You’ll Do Partner directly with business stakeholders to define ML use cases, success metrics, and evaluation frameworks — translating strategy into working models Lead end‑to‑end data workflows: exploration, quality checks, feature engineering, and dataset preparation Build, train, and iterate on ML models; run experiments, compare candidates, and champion the best solution Package and deploy models into production‑ready services using containerization and MLOps best practices Own post‑deployment health — set up monitoring, track model performance, and drive continuous improvement Your Technical Toolkit Languages & Querying Python (hands‑on, non‑negotiable) SQL (joins, window functions, CTEs, query optimization) Machine Learning Regression Decision Trees Random Forest XGBoost LightGBM SVM KNN Model evaluation (Precision/Recall, F1, ROC-AUC, MSE/RMSE) Hyperparameter tuning Cross‑validation Deep Learning TensorFlow Keras PyTorch CNNs RNNs LSTMs Transformers applied to NLP, Computer Vision, and Time‑Series Forecasting Data Engineering Feature engineering Missing data handling Outlier detection Normalization Data cleaning pipelines Visualization & BI Matplotlib Seaborn Plotly Tableau Power BI Storytelling with data Cloud & Big Data Spark Hadoop AWS (S3, SageMaker, EC2) or Azure (Databricks, Data Factory) or GCP (BigQuery, Vertex AI) Deployment & MLOps Flask / FastAPI Docker Kubernetes (a plus) CI/CD basics Airflow / Prefect Databases MySQL PostgreSQL SQL Server MongoDB Cassandra What Sets You Apart A solid conceptual grip on supervised and unsupervised learning, with real experimental work to back it up Proven experience shipping models to production in cloud‑agnostic, API‑first architectures Comfortable collaborating with engineering teams via version control and CI/CD workflows Generative AI exposure is a strong plus — and increasingly central to this role Industry Technology, Information and Internet Employment Type Contract #J-18808-Ljbffr