
Data Scientist Ai/ml
2 weeks ago
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.
**Skills & Qualifications**:
**Experience**:
- B.Tech with 3-6 years of relevant experience in Machine Learning, AI, or Data Science roles.
OR
- M.Tech, M. Statistics with 2-4 years of relevant experience in Machine Learning, AI, or Data Science roles.
- Education: Bachelor's/master's degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 2 college or similar colleges/universities.
**Technical Skills**:
- 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 -> changed the wording, added points.
**Nice to Have**:
- Object Oriented Programming.
- Familiarity with NLP, or time series analysis. -> Moving this into Nice to have, not bare min
- Exposure to deep learning models (RNN, LSTM) and working with GPUs.
Pay: ₹17,255.54 - ₹72,239.24 per month
**Benefits**:
- Health insurance
- Paid time off
Schedule:
- Day shift
Application Question(s):
- (mandatory)
Have you done BTech with Tier-2 or similar universities with 3-6 years of work experience or Mtech with Tier-2 or similar universities with 2-4 years of work experience
- (mandatory)
Are you from the Delhi NCR location?
**Education**:
- Bachelor's (required)
**Experience**:
- Machine learning: 3 years (required)
- Python: 3 years (required)
Work Location: In person
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