A) Overall:

• Experience in devising/enhancing machine learned (DL, NN) algorithms and data mining techniques for solving complex Big Data and enabling key business use cases through completion – must have delivered valuable Insights. Candidate should have lead the AI-based engagement through completion – including collaborating with client on value messaging, use case elaborations and managing AI Engagement lifecycle (through deployment) while managing a team.
• Excellent client facing skills – communication, facilitation and collaboration.
• Overall experience of 5+ years – specific AI experience of minimum of 4+ years.

B) Machine Learning (Must have):

• Experience implementing ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Boosting, K-Means, Ensembler Classifiers, Random Forest, convex optimization, transfer learning.
• Experience in frameworks such as Spark, Lucene or EMR to implement real-time ML systems

C) Data / AI Engineering (Must have):

• Proven experience working with large scale data foundations – data acquisition, processing / transformation, feature engineering and building production quality data foundation.
• Hands-on expertise in scripting – Python, R.

D) AI / DL Frameworks

• Knowledge of atleast two frameworks AI / DL frameworks – Tensorflow, Keras, MxNet, Caffe. CNTK, Theano / Pytorch
• Hands-on usage of leading tools for productionizing DL solutions – AWS Sagemaker / Libraries (like Rekognition), Azure ML components (Studio etc.), H2O AI.
• Hands-on scripting using the frameworks – Python or R.

E) Should have deep expertise in atleast one of the following:

Computer Vision, Speech Recognition and / or NLP & OCR

Strong understanding of Machine Learning techniques especially deep learning
Good Programming skills in C, Python & Shell scripting is desirable.

Location: Q-City, Hyderabad.

Experience: 4-5 years