Machine Learning Engineer

2 weeks ago

Mumbai, India Quantiphi Full time

Machine Learning Engineer

Company Profile

Quantiphi is an award-winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for the Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking

machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

We believe in “Solving What Matters”

Company Highlights

● Quantiphi has seen 2.5x growth YoY since its inception in 2013

● Winner of the “Machine Learning Partner of the Year” award from Google for two consecutive years - 2017 & 2018

● Winner of the “Social Impact Partner of the Year” award from Google in 2019

● Winner of the “Data & Analytics -Specialization Partner of the Year” and “US Education - Public Sector Partner of the Year” award for 2020

Experience in Years: Overall 7-12 in which 4+ is into designing, developing, & deploying AI/ML applications

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

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