Whiz AI is the first and only purpose-built cognitive insights platform for life sciences, empowering users to get answers to their business questions by simply asking via voice or text on web and mobile. Whiz AI is pre-trained on life sciences data and business terminologies, enabling it to answer even the most complex questions from billions of records in seconds. Fast, easy, and scalable, WhizAI is the trusted partner of choice at the top global life sciences companies. Asked. Answered. Instantly.

We are on a mission to make enterprise analytics as easy and delightful as using your favorite app. The days of tedious dashboards, long training hours, and complex analytics software are over. Our platform is disrupting the $190B+ analytics market industry by making it 100X faster and easier for all business users to simply talk to their data and get insights, based on the innovations in NLP, AI, ML and enterprise software. We are the future of business intelligence and if you too want to put innovation and user experience for business users above all else, this role is for you. 

Out of the box thinker to build innovative ML models and Lead the Data Science/Machine Learning team for an AI based startup:

1. Understand and analyze requirements requiring Machine Learning Models from Product Owners, Customers, and Other Stakeholders

2. Analyze and verify data quality and features

3. Design solutions by choosing the right algorithms, features, and hyperparameters

4. Manage the full lifecycle of ML Models: Data Acquisition, Feature Engineering, Model Development, Training, Verification, Optimization, Deployment, Versioning

5. Augment Enterprise data with publicly available datasets to enrich models & features

6. Create strategies for integrating Whiz.AI platform with external enterprise data sources like Databases, Data Warehouses, Analytical Stores, External ML Systems/Algorithms, Hadoop and ERP/CRM systems.
 

Technical

● 5+ years of experience in implementing Machine Learning and Deep Learning models applied to traditional as well as NLP problems

● Machine Learning-based models: ANN, SVM, Logistic Regression, Gradient Boosting

● Time Series Anomaly Detections Methods, Hierarchical or Grouped Time Series Forecasting

● Knowledge of BERT, LSTMs, RNNs, and HMMs applied to Text classification and Text Generation problems

● Understanding of ML & Data processing frameworks like TensorFlow or PyTorch, XGBoost, SciPy,

● Scikit-Learn, Apache Spark

● SQL and handling Big Data, databases

● Excellent knowledge of Python Programming, NumPy, Pandas, and processing JSON, XML, CSV files

Non-Technical

● Good communication & analytical skills

● Self-driven with a strong sense of ownership & urgency

Preferred Qualifications

● Preference will be given to the hands-on Deep Learning and NLP application experience

● Knowledge of Analytical/OLAP/Columnar, Hadoop Ecosystem and NoSQL databases

● Deep Learning, GANs, Reinforcement Learning

● R programming, Matlab

● Knowledge of Lifesciences or Pharmaceutical Industry dataset

Compensation:  
Competitive and commensurate with experience.  WhizAI offers a base salary, a bonus plan, and equity.

Benefits:  
Health care and paid time off.