Technical architect
4 weeks ago
Designation: Technical Architect AI/ML Experience in Years: Overall 10-17 in which 8+ is into designing, developing, & deploying AI/ML applications Location: Mumbai/Bangalore/Trivandrum Must have skills: ● Strong interpersonal and written skills with clear and precise communication ● Experience working in an Agile and competitive environment ● Technical leadership experience handling large teams ● Stakeholder interaction experience both within the organization and outside with clients ● Strong analytical and quantitative skill set with proven experience solving business problems across domains ● Very good with EDA, Hypothesis Testing, Feature Engineering ● Hands-on with Python/R programming and ML/Viz.
libraries/frameworks like Scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js, Tensorflow, Pytorch, Keras.
● Experience with ML algorithms such as Regression and Classification (Decision-trees, Random Forests, SVM, ANNs), Clustering (k-means, DBSCAN), Dimension Reduction (PCA, SVD), Ensemble techniques (XGBoost, Cat Boost, Light GBM)● Basic image enhancement techniques such contrast enhancement, blurring, histogram equalization, etc using Open CV ● Experience with DL/CV techniques like CNNs, Faster RCNN, Mask RCNN, YOLO, SSD, Detectron2 for various use cases related to image such as Image Classification, Object Detection, Image Segmentation, etc ● Traditional NLP - Bag of words, tf-idf, Stemming, Lemmatization, Tokenization, POS tagging, Coreference Resolution, Dependency and Constituency Parsing, Named Entity Recognition ● NLP: NLU vs NLG, Vector Space modeling and text representation techniques in NLP, Knowledge/experience using RNNs, LSTMS, Sequence modeling and Attention mechanism, Transformers, BERT, GPT and their SOTA variants, Sequence modeling, Attention modeling, BERT, Transformers.
Using the above-mentioned techniques for Text classification, Sentiment Analysis, Semantic similarity, Entity Extraction, Document summarization, NLI, Question-Answering, Machine Translation, etc ● Forecasting modeling experience both on univariate and multivariate data using algorithms like Linear Regression, Neural Networks, Exponential Smoothing, Holt’s Winters, ARIMA, SARIMA, LSTM ● Identify appropriate objective functions, regularization techniques, performance metrics based on the use case and should be able to perform cross-validation, hyperparameter tuning, and error analysis ● Proven experience building and deploying AI/ML solutions in production using open source or cloud tools such as MLflow, Kubeflow, TFX, Feature Store, etc ● Hands-on AI/ML experience with any one cloud platform (GCP, Azure, AWS) either using the modeling options (Vertex AI, Sage Maker, Azure ML) or leveraging the APIs (Speech-to-text, Text-to-speech, Translation, Vision, Text Extraction) Nice to have skills: ● Any pre-sales experience ● Hands-on experience with any visualization tool like Tableau, Power BI, Looker Studio ● Build APIs using frameworks such as Flask, Django, Fast API ● Distributed training for deep learning using frameworks like Py Torch, Tensor Flow ● Advanced image processing using Open CV, Feature Detection and Matching using SIRF/SURF/FAST/BRIEF ● Advanced recommender systems using model based techniques like KNN, Matrix Factorization, SVD, etc and and/or Deep Learning methods ● Docker containerization of microservices, deployment on cloud compute resources and orchestration using popular frameworks like Kubernetes ● Experience with either or all of Knowledge Graphs, Federated Learning, Deep Reinforcement Learning ● Experience/Knowledge working on Intelligent Document processing solutions using open-source technologies like OCR using Tesseract, text-block, ROI detection using Open CV, etc.
● Experience/Knowledge working on solutions using Cloud based Document processing products like Google Document AI, Amazon Textract, Microsoft Azure Form Recognizer, etc.
● Cloud Certification - Machine Learning and/or Cloud Architect Roles & Responsibilities: ● Ability to multitask and work on multiple engagements related to different domains ● Work in a highly collaborative and fast paced environment by interacting with the stakeholders and various IT teams within the company to facilitate the design and development of ML/AI solutions ● Responsible for the successful delivery of all allocated projects with respect to schedule, quality, and customer satisfaction ● Work with the pre-sales team on RFP, RFIs and help them solutioning for different AI/ML use cases ● Evaluate latest technologies, decide technical feasibility, and drive solution implementations ● Follow Agile standards and methodologies in all phases of the project and ensure excellence in delivery to customers ● Refine coding standards, software development guidelines, and best practices within the organization, and ensure adherence to those ● Mentor other architects and young talent within the organization, define and track their growth parameters
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