Lead the design, development, and deployment of AI/ML solutions across multiple domains.
Responsibilities
Own end-to-end delivery of AI/ML projects, ensuring quality, schedule adherence, and customer satisfaction.
Collaborate with pre-sales teams to provide technical solutioning for RFPs and RFIs.
Evaluate emerging technologies for technical feasibility and drive implementation.
Mentor associate architects and engineers while defining and tracking their technical growth.
Establish and refine coding standards, software development guidelines, and best practices.
Required Skills
10-20 years of overall experience, with at least 7 years focused on designing and deploying AI/ML solutions.
Hands-on expertise in Python or R programming.
Proficiency with ML libraries including Scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js, TensorFlow, PyTorch, and Keras.
Deep knowledge of ML algorithms: Regression, Classification (Decision-trees, Random Forests, SVM, ANNs), Clustering (k-means, DBSCAN), and Ensemble techniques (XGBoost, CatBoost, LightGBM).
Experience with Deep Learning and Computer Vision: CNNs, Faster R-CNN, Mask R-CNN, YOLO, SSD, and Detectron2.
Expertise in NLP: Sequence modeling, Transformers, BERT, GPT, and text representation techniques.
Experience with forecasting models: ARIMA, SARIMA, LSTM, and Exponential Smoothing.
Proven ability to build and deploy production ML solutions using MLflow, Kubeflow, or TFX.
Hands-on experience with at least one cloud platform (GCP, Azure, or AWS) and its respective ML services.
Preferred Skills
Strong analytical skills for EDA, hypothesis testing, and feature engineering.