- Ability to multitask and work on multiple engagements related to different domains
- Work in a highly cooperative 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 associate architects, engineers and young talent within the organization, define and track their
- growth parameters.
- 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, 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.
- 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.
- 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 (Textract,Vision, Text Extraction, Speech-to-text,
- Text-to-speech, Translation etc.).
- 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
- Cloud Certification - Machine Learning and/or Cloud Architect

Skills: Tensorflow, Pytorch, ssd

Experience: 10.00-20.00 Years

📌 Technical Architect - MLE (Thiruvananthapuram)
🏢 Quantiphi Analytics Solutions
📍 Thiruvananthapuram