TA AI/ML Engineer

1 week ago

Mumbai, Maharashtra, India Quantiphi Full time

Designation :
Technical Architect AI/ML

Experience in Years :
Overall 9-17 in which 8+ is into designing, developing, & deploying AI/ML applications

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.
  • 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, , 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.
  • 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, SageMaker, 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, FastAPI
  • 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 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 other architects and young talent within the organization, define and track their growth parameters.

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