Senior Machine learning Architect
2 months ago
For more details visit: Summary
Role : Sr. Technical Lead - MLExperience : 10 - 18 YearsLocation : Bangalore/Mumbai
We are seeking a highly experienced ML Architect/Applied AI Researcher with aspecialization in deep learning and generative models to join our dynamic team. In thissenior role, you will evangelize the latest AI research and guide the strategic architecturaldirection of our AI modeling and implementation efforts, including the evaluation andfine-tuning of large language models (LLMs), and the evolving automation based oncustomer needs.
The ideal candidate has a robust understanding of the recent developments inreinforcement learning with human feedback (RLHF) and can adeptly apply this knowledgein a practical setting. They will be a self-motivated, entrepreneurial, and demonstratedteam-player, as well as an early thought leader and hands-on implementer along with theteams and developing best practices and recommendations around tools/technologies forML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering,Model Management, MLOps, Model Deployment approaches and Model monitoring andtuning.
● Defining, designing and delivering ML architecture patterns operable innative and hybrid cloud architectures.● Research, analyze, recommend and select technical approaches to addresschallenging development and data integration problems related to MLModel training and deployment in Enterprise Applications.● Perform research activities to identify emerging technologies and trendsthat may affect the Data Science/ ML life-cycle management in enterpriseapplication portfolio.● Ability to multitask and work on multiple engagements related to differentdomains.● Work in a highly collaborative and fast paced environment by interactingwith the stakeholders and various IT teams within the company to facilitatethe design and development of ML/AI solutions.● Responsible for the successful delivery of all allocated projects with respectto schedule, quality, and customer satisfaction.● Work with the pre-sales team on RFP, RFIs and help them solutioning fordifferent AI/ML use cases.● .Evaluate latest technologies, decide technical feasibility, and drive solutionimplementations.● Follow Agile standards and methodologies in all phases of the project andensure excellence in delivery to customers.● Refine coding standards, software development guidelines, and bestpractices within the organization, and ensure adherence to those.● Mentor other architects and young talent within the organization, defineand track their growth parameters.
Responsibilities:
● Strong interpersonal and written skills with clear and precisecommunication.● Experience working in an Agile and competitive environment.● Technical leadership experience handling large teams.● Stakeholder interaction experience both within the organization and outsidewith clients.● Strong analytical and quantitative skill set with proven experience solvingbusiness problems across domains.● Very good with EDA, Hypothesis Testing, Feature Engineering.● Hands-on with Python/R programming and ML/Viz. libraries/frameworks likeScikit-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 ImageClassification, Object Detection, Image Segmentation, etc.● Traditional NLP - Bag of words, tf-idf, Stemming, Lemmatization,Tokenization, POS tagging, Coreference Resolution Dependency andConstituency Parsing, Named Entity Recognition.● NLP: NLU vs NLG, Vector Space modeling and text representationtechniques in NLP, Knowledge/experience using RNNs, LSTMS, Sequencemodeling and Attention mechanism, Transformers, BERT, GPT and theirSOTA variants, Sequence modeling, Attention modeling, BERT,Transformers. Using the above-mentioned techniques for Text classification,Sentiment Analysis, Semantic similarity, Entity Extraction, Documentsummarization, NLI, Question-Answering, Machine Translation, etc.
What is Required
● Forecasting modeling experience both on univariate and multivariate datausing algorithms like Linear Regression, Neural Networks, ExponentialSmoothing, Holt’s Winters, ARIMA, SARIMA, LSTM.● Identify appropriate objective functions, regularization techniques,performance metrics based on the use case and should be able to performcross-validation, hyperparameter tuning, and error analysis.● Proven experience building and deploying AI/ML solutions in productionusing open source or cloud tools such as MLflow, Kubeflow, TFX, FeatureStore, etc.● Hands-on AI/ML experience with any one cloud platform (GCP, Azure, AWS)either using the modeling options (VertexAI, SageMaker, Azure ML) orleveraging the APIs (Speech-to-text, Text-to-speech, Translation, Vision, TextExtraction).
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