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3 Days ago
Veersa Technologies- Data Scientist - Artificial Intelligence/Machine Learning
Surat, Gujarat, India
Information Technology
Full-Time
Veersa Technologies
Overview
About Veersa
We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges.
Key Responsibilities
- Veersa Technologies is a US-based IT services and AI enablement company founded in 2020, with a global delivery center in Noida (Sector 142).
- Founded by industry leaders with an impressive 85% YoY growth.
- A profitable company since inception.
- Team strength : Almost 400 professionals and growing rapidly.
- Digital & Software Solutions : Product Development, Legacy Modernization, Support.
- Data Engineering & AI Analytics : Predictive Analytics, AI/ML Use Cases, Data Visualization.
- Tools & Accelerators : AI/ML-embedded tools that integrate with client systems.
- Tech Portfolio Assessment : TCO analysis, modernization roadmaps, etc.
- AI/ML, IoT, Blockchain, MEAN/MERN stack, Python, GoLang, RoR, Java Spring Boot. Node.js
- Databases : PostgreSQL, MySQL, MS SQL, Oracle.
- Cloud : AWS & Azure (Serverless Architecture).
We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges.
Key Responsibilities
- Design, develop, and deploy scalable machine learning models and AI solutions.
- Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions.
- Analyse and preprocess large datasets for training and testing ML models.
- Experiment with different ML algorithms and techniques to improve model performance.
- Proficiency in programming languages such as Python & R
- Strong knowledge of classical machine learning algorithms with hands on experience in the following :
- Supervised (Classification model, regressions models)
- Unsupervised, (Clustering Algorithms, Autoencoders)
- Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost)
- Experience in data preprocessing, feature engineering, and handling large-scale datasets.
- Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression.
- Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots.
- Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.
- Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc.
- Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments.
- Object Oriented Programming.
- Familiarity with NLP, or time series analysis.
- Exposure to deep learning models (RNN, LSTM) and working with GPUs.
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