Quantiphi Machine Learning Architect

Job description

<p><p><b>Job Summary :</b><br/><br/>Role : Sr.Technical Lead Applied AI.<br/><br/>Experience : 11+ Years.<br/><br/>We are seeking a highly experienced ML & Applied AI Architect with a specialization in deep learning and generative models to join our dynamic team.<br/><br/>In this senior role, you will evangelize the latest AI research and guide the strategic architectural direction of our AI modeling and implementation efforts, including the evaluation and fine-tuning of large language models (LLMs), and the evolving automation based on customer needs.<br/><br/>- The ideal candidate has a robust understanding of the recent developments in reinforcement learning with human feedback (RLHF) and can adeptly apply this knowledge in a practical setting.<br/><br/>- They will be a self-motivated, entrepreneurial, and demonstrated team-player, as well as an early thought leader and hands-on implementer along with the teams and developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning.<br/><br/>- Defining, designing and delivering ML architecture patterns operable in native and hybrid cloud architectures.<br/><br/>- Research, analyze, recommend and select technical approaches to address challenging development and data integration problems related to ML.<br/><br/>- Model training and deployment in Enterprise Applications.<br/><br/>- Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio.<br/><br/>- Ability to multitask and work on multiple engagements related to different domains.<br/><br/>- 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.<br/><br/>- Responsible for the successful delivery of all allocated projects with respect to schedule, quality, and customer satisfaction.<br/><br/>- Work with the pre-sales team on RFP, RFIs and help them solutioning for different AI/ML use cases.<br/><br/>- Evaluate latest technologies, decide technical feasibility, and drive solution implementations.<br/><br/>- Follow Agile standards and methodologies in all phases of the project and ensure excellence in delivery to customers.<br/><br/>- Refine coding standards, software development guidelines, and best practices within the organization, and ensure adherence to those.<br/><br/>- Mentor other architects and young talent within the organization, define and track their growth :</b></p><p><br/>- Strong interpersonal and written skills with clear and precise communication.<br/><br/>- Experience working in an Agile and competitive environment.<br/><br/>- Technical leadership experience handling large teams.<br/><br/>- Stakeholder interaction experience both within the organization and outside with clients.<br/><br/>- Strong analytical and quantitative skill set with proven experience solving business problems across domains.<br/><br/>- Very good with EDA, Hypothesis Testing, Feature Engineering.<br/><br/>- Hands-on with Python/R programming and ML/Viz libraries/frameworks like Scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js,Tensorflow, Pytorch, Keras.<br/><br/>- 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).<br/><br/>- Basic image enhancement techniques such contrast enhancement, blurring, histogram equalization, etc using OpenCV.<br/><br/>- Experience with DL/CV techniques like CNNs, Faster RCNN, Mask RCNN, YOLO, SSD, Detectron2 for various use cases related toimage such as Image Classification, Object Detection, Image Segmentation, etc.<br/><br/>- Traditional NLP Bag of words, tf-idf, Stemming, Lemmatization, Tokenization, POS tagging, Coreference Resolution,Dependency and Constituency Parsing, Named Entity Recognition.<br/><br/>- 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.<br/><br/>- Using the above-mentioned techniques for Text classification, Sentiment Analysis,Semantic similarity, Entity Extraction, Document summarization, NLI, Question-Answering, Machine Translation, etc.</p><p><b><br/></b></p><p><b>What is Required :</b></p><p><br/>- Forecasting modeling experience both on univariate and multivariate data using algorithms like Linear Regression, Neural Networks, Exponential Smoothing, Holts Winters, ARIMA, SARIMA, LSTM.<br/><br/>- 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.<br/><br/>- Proven experience building and deploying AI/ML solutions in production using open source or cloud tools such as MLflow, Kubeflow, TFX, Feature Store, etc.<br/><br/>- Hands-on AI/ML experience with any one cloud platform (GCP, Azure, AWS) either using the modeling options (VertexAI, SageMaker, Azure ML) or leveraging the APIs (Speech-to-text, Text-to-speech, Translation, Vision, Text to have skills :</b></p><p><br/>- In-depth experience in AI/ML and Data analytics services offered.<br/><br/>- Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and in it for you ?</b></p><p><br/>- The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.<br/><br/>- The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.<br/><br/>- The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.<br/><br/>- Flexible working options available to foster productivity and work/life balance.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations