Responsibilities
•    Hands-on work and delivery of Advanced analytics/ML/AI projects
•    Strong Analytical, Problem solving & critical thinking skills
•    Excellent knowledge in statistical techniques such and advanced machine learning algorithms- Regression, Decision Tree, Random Forest, SVM, XGBoost,Clustering, Time Series, Ensemble Learning, Recommendation engine, Neural Network, NLP
•    Good understanding in Large scale distributed systems, cloud computing (AWS/Azure/GCP)
•    Hands-on coding experience with Python
•    Understanding business objectives and developing AI models that help to achieve them, along with metrics to track their progress
•    Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
•    Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
•    Defining AI Model validation strategies
•    Defining the preprocessing or feature engineering to be done on a given dataset
•    Defining data augmentation pipelines
•    Training models and tuning their hyper-parameters
•    Analyzing the errors of the model and designing strategies to overcome them
•    Deployment of AI model to production at scale

Qualifications we seek in you!

Minimum qualifications

•    BS/BE/B.Tech/MCA or equivalent

 
Preferred qualifications
•    Must have AI/ML work experience, python coding skills
•    Handle client interaction and documentation
•    Effective communicate in writing and verbally to senior management and client governance meetings
•    Experience in balancing client facing role and work assessments
•    Self-starter and have analytical, problem solving skills
•    Experience in AI/ML Engineer with Python will be preferred
•    Good conceptual knowledge and experience with visualizing data will be an added advantage
•    Knowledge of Pyspark and Parallel Programming would be added advantage