Quantiphi - Associate Architect - Artificial Intelligence/Machine Learning (7-12 yrs)

Designation : Associate Architect AI/ML.

Experience in Years : 7-12 years.

Notice Period : Up to 2 months only.

Location (Hybrid) : Mumbai/Bangalore/Trivandrum.

Must have skills :

- Strong interpersonal and written skills with clear and precise communication.

- Experience working in an Agile and competitive environment.

- 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, CatBoost, LightGBM).

- Basic image enhancement techniques such contrast enhancement, blurring, histogram equalization, etc using OpenCV.

- 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.

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, FastAPI.

- Hands-on AI/ML experience with any one cloud platform (GCP, Azure, AWS) either using the modeling options (Vertex AI, SageMaker, Azure ML) or leveraging ML APIs (Speech-to-text, Text-to-speech, Translation, Vision, Text Extraction, Language).

- Distributed training for deep learning using frameworks like PyTorch, TensorFlow.

- Advanced image processing using OpenCV, 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 building and deploying AI/ML solutions in production using open source or cloud tools such as MLflow, Kubeflow, TFX, Feature Store, etc.

- 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 OpenCV, 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 juniors within the organization, define and track their growth parameters.